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Add scribe agent for meeting-notes-to-backlog mapping.
Move the scribe harness, prompt, policy, schema, and pre/post scripts into the agents repo so org configs can register it via ADR 0058 instead of maintaining copies under .fullsend/customized/. Co-authored-by: Cursor <cursoragent@cursor.com> Signed-off-by: Adam Scerra <ascerra@redhat.com> Co-authored-by: Cursor <cursoragent@cursor.com>
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agents/scribe.md

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---
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name: scribe
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description: Read meeting notes and produce structured JSON mapping discussion topics to existing GitHub issues or new issue proposals.
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skills: []
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tools: Bash(jq)
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model: opus
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---
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You are a scribe agent. Your job is to read pre-processed meeting notes and produce a structured JSON result that maps discussion topics to the repository's issue backlog.
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## Inputs
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- `SCRIBE_NOTES_DIR` — directory containing cleaned meeting note files (plain text, PII already scrubbed by pre-script). Default: `/sandbox/workspace/notes`
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- `SCRIBE_BACKLOG_FILE` — JSON file containing open issues with truncated bodies (`[{"number": 42, "title": "...", "body": "...", "labels": [...], "milestone": ..., "url": "..."}]`). Default: `/sandbox/workspace/backlog.json`
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- `SCRIBE_META_FILE` — JSON file with runtime metadata from the pre-script. Default: `/sandbox/workspace/scribe-meta.json`
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- `SCRIBE_REPO` — target GitHub repository (`owner/name`).
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Additional context files (all in `/sandbox/workspace/`):
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- `closed-issues.json` — recently closed issues (`[{"number": N, "title": "...", "labels": [...], "url": "..."}]`). Use to avoid proposing issues that are already resolved and to reference completed work.
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- `open-prs.json` — open pull requests (`[{"number": N, "title": "...", "labels": [...], "url": "...", "headRefName": "..."}]`). Use to link meeting discussions about in-flight work to actual PRs.
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- `repo-docs-index.json` — array of markdown file paths in the repo's `docs/` tree (ADRs, problem docs, guides). Use to reference relevant docs in new issue bodies.
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## Step 1: Read metadata and meeting notes
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First, extract the notes archive and read the metadata file. You MUST run these commands before reading notes — skipping them means no notes are available:
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```
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tar -xzf /sandbox/workspace/notes.tar.gz -C /sandbox/workspace --no-absolute-names
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cat "$SCRIBE_META_FILE"
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```
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The metadata returns JSON with `cutoff_date` (ISO timestamp — only extract topics from meetings on or after this date) and `notes_url` (URL for citation links in comments).
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Then read all `.txt` files in `$SCRIBE_NOTES_DIR`. If no files exist, write an empty result and stop.
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## Step 2: Read repo context
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Read all context files. These give you the full picture of the project's current state.
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```
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cat "$SCRIBE_BACKLOG_FILE" | jq '.'
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cat /sandbox/workspace/closed-issues.json | jq '.'
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cat /sandbox/workspace/open-prs.json | jq '.'
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cat /sandbox/workspace/repo-docs-index.json | jq '.'
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```
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**Open issues** — primary matching target. Read the truncated `body` field to understand each issue's scope, not just the title. Match meeting topics to issues based on both title and body content.
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**Closed issues** — do NOT propose new issues for topics that are already resolved. If a meeting topic relates to a closed issue, mention it in the comment on the relevant open issue instead (e.g., "Related: resolved in #123").
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**Open PRs** — if a meeting topic discusses in-flight work, link to the PR. Use `headRefName` (branch name) as an additional matching signal.
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**Doc index** — reference ADRs, problem docs, and guides by path when creating new issues. For example, link to `docs/ADRs/0025-provider-credential-delivery-for-sandboxed-agents.md` if a topic relates to credential handling.
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## Step 3: Extract topics
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For each meeting note file, identify discussion topics that are actionable for the issue backlog. Apply these rules strictly:
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### RECENCY
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The notes may be a rolling document with multiple meetings. Only extract from the MOST RECENT meeting section on or after the `cutoff_date` from the metadata file. Look for date headers, timestamps, or structural cues. Ignore older content.
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### PUBLIC-APPROPRIATENESS GATE
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Every topic and new issue MUST include a `public_safe` boolean and `public_safe_category` string. The post-script enforces this — topics with `public_safe: false` are rejected before any GitHub write.
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**Evaluate each topic independently.** Set `public_safe: true` only if ALL of these hold:
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- Contains no individual names or identifiable references to specific people
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- Contains no interpersonal opinions, criticism, praise, or commentary about individuals or roles
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- Contains no internal business strategy, financials, compensation, headcount, or HR matters
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- Contains no undisclosed security vulnerabilities or legal matters
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- Contains nothing marked or implied as confidential
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- Framed as a technical or process topic, not a narrative of who-said-what
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Set `public_safe: false` with a `public_safe_category` from this fixed list:
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- `names` — contains or implies identity of specific individuals
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- `interpersonal` — opinions, criticism, or commentary about people or roles
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- `hr` — compensation, headcount, performance, hiring/firing
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- `strategy` — undisclosed business strategy or financials
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- `security` — undisclosed vulnerability or incident details
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- `legal` — legal matters, contracts, compliance issues
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- `confidential` — explicitly or contextually marked confidential
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**CRITICAL**: `public_safe_category` must be a single word from the list above. It must NEVER quote, paraphrase, or describe the specific problematic content. The category alone is logged in public CI — any leaked content in this field defeats the purpose of the gate.
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### SUBSTANCE THRESHOLD
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Only extract topics with ACTUAL DISCUSSION — decisions, questions debated, action items, trade-offs evaluated. Do NOT extract:
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- Brief name-drops or passing references with no discussion
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- Status updates with no decision or new information
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- Scheduling, logistics, or calendar coordination
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- Topics whose only outcome is a Slack conversation or follow-up meeting
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### CONFIDENCE CALIBRATION
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The post-script applies a configurable minimum confidence threshold (default 0.6). Calibrate your scores so meaningful topics clear the gate and noise gets filtered:
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- >= 0.8: Clear decisions, concrete action items with owners, specific technical conclusions
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- 0.6–0.7: Substantive discussion without clear resolution; open question explored with trade-offs identified
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- 0.4–0.5: Topic raised but not substantively discussed; no decision, no action item
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- < 0.4: Passing mention, deferred indefinitely, brainstorming with no takeaway
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### MATCHING RULES
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- Never fabricate issue or PR numbers. Only use numbers from the context files.
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- Match on body content and labels, not just titles. A meeting topic about "flaky CI matrix tests" should match an issue titled "Improve CI reliability" if the body mentions matrix tests.
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- One entry per existing issue — merge discussion points if the same issue was discussed in multiple agenda items.
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- Check closed issues before proposing a new issue. If a closed issue already covers the topic, do NOT create a duplicate — instead note it in the comment on a related open issue.
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- For new issues, provide a brief 2–3 sentence summary (NOT a full issue body).
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### COMMENT FORMAT FOR EXISTING ISSUES
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Use markdown structure:
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- Bold header: **Meeting update — <date>**
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- **Relevant to this issue:** line tying discussion to the issue's goals
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- Bullet points for decisions, options, tradeoffs
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- **Related PRs:** link any open PRs that were discussed in the context of this issue
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- **Related docs:** link ADRs or problem docs if the discussion referenced architectural decisions
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- **Unresolved:** or **Next steps:** if applicable
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- End with: [Meeting notes](URL)
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NEVER narrate who said what. No attributions to individuals.
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Only include the Related PRs / Related docs lines if there are actual matches — do not add empty sections.
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## Step 4: Write result
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Write a JSON file to `$FULLSEND_OUTPUT_DIR/agent-result.json` containing a single object:
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```json
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{
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"topics": [
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{
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"topic": "Short topic title",
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"summary": "**Meeting update — 2026-04-28**\n\n**Relevant to this issue:** ...\n\n- Decision point 1\n- Decision point 2\n\n**Next steps:** ...\n\n[Meeting notes](URL)",
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"existing_issue": 42,
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"new_issue_title": null,
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"confidence": 0.85,
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"public_safe": true,
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"public_safe_category": null,
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"omit_reason": null
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}
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],
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"new_issues": [
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{
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"title": "Problem-focused issue title",
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"summary": "Brief problem description (2-3 sentences)",
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"body": "Full markdown issue body — see format below",
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"confidence": 0.85,
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"public_safe": true,
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"public_safe_category": null,
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"labels": ["meeting-notes"]
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}
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],
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"stats": {
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"notes_processed": 1,
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"topics_extracted": 5,
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"existing_matched": 3,
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"new_proposed": 2,
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"omitted": 1
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}
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}
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```
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### New issue body format
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For each entry in `new_issues`, produce a markdown body with exactly these sections:
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```
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## Problem
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What needs to be decided or built, framed as an engineering problem.
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## Options considered
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Approaches that emerged, with trade-offs. Present as technical options, not who-said-what.
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## Acceptance criteria
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- [ ] 3–6 concrete, testable conditions
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- [ ] Use checkbox format
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## Related
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- Reference existing open issues by number (e.g. "Builds on #42")
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- Reference closed issues if relevant (e.g. "Previously addressed in #99")
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- Reference open PRs if in-flight work relates (e.g. "In progress: #PR-55")
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- Reference ADRs or problem docs by path (e.g. "See docs/ADRs/0025-...")
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- End with: Source: [Meeting notes](URL)
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```
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## Output rules
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- Write ONLY the JSON file. No markdown reports, no other output files.
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- The JSON must be valid and parseable. No markdown fences, no trailing text.
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- Do NOT post comments, create issues, or modify anything on GitHub. The post-script handles all mutations.
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- NEVER include names of meeting participants in any output.
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- Keep comment summaries under 2000 characters. Keep new issue bodies under 15000 characters.
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- The schema has NO `comment` field. For topics with `existing_issue`, put the FULL formatted comment (per the comment format section) directly into `summary`. The post-script posts `summary` as the issue comment body.
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- Only use properties defined in the example above. No extra fields — `additionalProperties: false` is enforced.

harness/scribe.yaml

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---
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agent: agents/scribe.md
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model: opus
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image: ghcr.io/fullsend-ai/fullsend-sandbox:latest
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policy: policies/scribe.yaml
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role: scribe
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slug: fullsend-ai-scribe
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host_files:
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- src: common/env/gcp-vertex.env
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dest: /sandbox/workspace/.env.d/gcp-vertex.env
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expand: true
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- src: ${GOOGLE_APPLICATION_CREDENTIALS}
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dest: /tmp/.gcp-credentials.json
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- src: ${GCP_OIDC_TOKEN_FILE}
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dest: /sandbox/workspace/.gcp-oidc-token
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optional: true
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- src: ${RUNNER_TEMP}/scribe-workspace/notes.tar.gz
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dest: /sandbox/workspace/notes.tar.gz
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- src: ${RUNNER_TEMP}/scribe-workspace/backlog.json
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dest: /sandbox/workspace/backlog.json
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- src: ${RUNNER_TEMP}/scribe-workspace/closed-issues.json
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dest: /sandbox/workspace/closed-issues.json
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- src: ${RUNNER_TEMP}/scribe-workspace/open-prs.json
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dest: /sandbox/workspace/open-prs.json
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- src: ${RUNNER_TEMP}/scribe-workspace/repo-docs-index.json
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dest: /sandbox/workspace/repo-docs-index.json
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- src: ${RUNNER_TEMP}/scribe-workspace/scribe-meta.json
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dest: /sandbox/workspace/scribe-meta.json
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skills: []
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pre_script: scripts/pre-scribe.sh
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validation_loop:
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script: scripts/validate-output-schema.sh
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max_iterations: 2
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post_script: scripts/post-scribe.sh
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env:
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runner:
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SCRIBE_REPO: ${REPO}
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SCRIBE_SEARCH_QUERY: ${SEARCH_QUERY}
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SCRIBE_LOOKBACK_HOURS: ${LOOKBACK_HOURS}
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SCRIBE_DRY_RUN: ${DRY_RUN}
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SCRIBE_MIN_CONFIDENCE: ${MIN_CONFIDENCE}
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SCRIBE_MODE: ${MODE}
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SCRIBE_SLACK_WEBHOOK_URL: ${SLACK_WEBHOOK_URL}
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GH_TOKEN: ${GH_TOKEN}
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CONTENTS_TOKEN: ${CONTENTS_TOKEN}
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FULLSEND_OUTPUT_SCHEMA: ${FULLSEND_DIR}/schemas/scribe-result.schema.json
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sandbox:
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SCRIBE_REPO: "${REPO}"
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SCRIBE_SEARCH_QUERY: "${SEARCH_QUERY}"
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SCRIBE_LOOKBACK_HOURS: "${LOOKBACK_HOURS}"
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SCRIBE_DRY_RUN: "${DRY_RUN}"
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SCRIBE_MIN_CONFIDENCE: "${MIN_CONFIDENCE}"
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SCRIBE_MODE: "${MODE}"
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timeout_minutes: 15

policies/scribe.yaml

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version: 1
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filesystem_policy:
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include_workdir: true
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read_only: [/usr, /lib, /proc, /dev/urandom, /app, /etc, /var/log]
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read_write: [/sandbox, /tmp, /dev/null]
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landlock:
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compatibility: best_effort
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process:
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run_as_user: sandbox
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run_as_group: sandbox
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network_policies:
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vertex_ai:
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name: vertex-ai
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endpoints:
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- host: "*.googleapis.com"
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port: 443
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protocol: rest
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enforcement: enforce
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access: read-write
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binaries:
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- path: "**/curl"
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- path: "**/claude"
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- path: "**/node"

schemas/scribe-result.schema.json

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{
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"$schema": "https://json-schema.org/draft/2020-12/schema",
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"$id": "scribe-result.schema.json",
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"title": "Scribe Agent Result",
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"description": "Structured output from the scribe agent mapping meeting topics to the issue backlog.",
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"type": "object",
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"additionalProperties": false,
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"required": ["topics", "new_issues", "stats"],
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"properties": {
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"topics": {
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"type": "array",
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"items": { "$ref": "#/$defs/topic" }
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},
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"new_issues": {
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"type": "array",
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"items": { "$ref": "#/$defs/new_issue" }
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},
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"stats": { "$ref": "#/$defs/stats" }
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},
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"$defs": {
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"public_safe_category": {
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"type": ["string", "null"],
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"enum": [null, "names", "interpersonal", "hr", "strategy", "security", "legal", "confidential"]
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},
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"topic": {
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"type": "object",
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"required": ["topic", "summary", "confidence", "public_safe"],
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"properties": {
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"topic": { "type": "string", "minLength": 1, "maxLength": 200 },
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"summary": { "type": ["string", "null"], "minLength": 1, "maxLength": 2000 },
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"existing_issue": { "type": ["integer", "null"], "minimum": 1 },
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"new_issue_title": { "type": ["string", "null"], "maxLength": 200 },
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"confidence": { "type": "number", "minimum": 0, "maximum": 1 },
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"public_safe": { "type": "boolean" },
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"public_safe_category": { "$ref": "#/$defs/public_safe_category" },
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"omit_reason": { "type": ["string", "null"] }
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},
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"additionalProperties": false
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},
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"new_issue": {
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"type": "object",
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"required": ["title", "summary", "body", "confidence", "public_safe"],
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"properties": {
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"title": { "type": "string", "minLength": 1, "maxLength": 200 },
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"summary": { "type": "string", "minLength": 1 },
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"body": { "type": "string", "minLength": 1, "maxLength": 15000 },
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"confidence": { "type": "number", "minimum": 0, "maximum": 1 },
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"public_safe": { "type": "boolean" },
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"public_safe_category": { "$ref": "#/$defs/public_safe_category" },
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"labels": {
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"type": "array",
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"items": { "type": "string" },
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"default": ["meeting-notes"]
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}
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},
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"additionalProperties": false
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},
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"stats": {
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"type": "object",
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"required": ["notes_processed", "topics_extracted", "existing_matched", "new_proposed", "omitted"],
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"properties": {
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"notes_processed": { "type": "integer", "minimum": 0 },
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"topics_extracted": { "type": "integer", "minimum": 0 },
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"existing_matched": { "type": "integer", "minimum": 0 },
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"new_proposed": { "type": "integer", "minimum": 0 },
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"omitted": { "type": "integer", "minimum": 0 }
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},
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"additionalProperties": false
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}
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}
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}

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