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address codex review: gate pruning on adaptive_memory, cap tool calls per response, canonicalize skill paths
Signed-off-by: Michael Neale <michael.neale@gmail.com>
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crates/goose/src/agents/knowledge_review.rs

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@@ -339,6 +339,9 @@ async fn run_knowledge_extraction(
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messages.push(response_message);
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for tool_request in &tool_requests {
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if tool_calls_made >= MAX_REVIEW_TOOL_CALLS {
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break;
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}
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tool_calls_made += 1;
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let tool_call = match &tool_request.tool_call {

crates/goose/src/agents/platform_extensions/skills.rs

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@@ -357,7 +357,10 @@ pub async fn handle_patch_skill(
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}
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let goose_skills_dir = Paths::config_dir().join("skills");
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if !skill.path.starts_with(&goose_skills_dir) {
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let canonical_skills_dir = std::fs::canonicalize(&goose_skills_dir).unwrap_or(goose_skills_dir);
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let canonical_skill_path =
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std::fs::canonicalize(&skill.path).unwrap_or_else(|_| skill.path.clone());
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if !canonical_skill_path.starts_with(&canonical_skills_dir) {
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return Ok(CallToolResult::error(vec![Content::text(
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"Cannot patch externally installed skills. Create a new skill in goose's directory instead.",
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)]));
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---
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source: crates/goose/src/agents/prompt_manager.rs
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assertion_line: 458
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expression: system_prompt
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---
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You are a general-purpose AI agent called goose, created by AAIF (Agentic AI Foundation).
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goose is being developed as an open-source software project.
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# Extensions
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Extensions provide additional tools and context from different data sources and applications.
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You can dynamically enable or disable extensions as needed to help complete tasks.
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Because you dynamically load extensions, your conversation history may refer
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to interactions with extensions that are not currently active. The currently
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active extensions are below. Each of these extensions provides tools that are
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in your tool specification.
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## Extension Manager
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### Instructions
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Extension Management
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Use these tools to discover, enable, and disable extensions, as well as review resources.
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Available tools:
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- search_available_extensions: Find extensions available to enable/disable
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- manage_extensions: Enable or disable extensions
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- list_resources: List resources from extensions
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- read_resource: Read specific resources from extensions
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When you lack the tools needed to complete a task, use search_available_extensions first
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to discover what extensions can help.
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Use manage_extensions to enable or disable specific extensions by name.
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Use list_resources and read_resource to work with extension data and resources.
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## adaptive_memory
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### Instructions
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You have persistent adaptive memory across sessions.
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The most valuable memory prevents the user from having to repeat themselves.
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Save proactively — don't wait to be asked.
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WHEN TO SAVE:
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- User corrects you or says 'remember this' / 'don't do that again' → save immediately
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- User shares a preference, habit, or personal detail (name, role, timezone, coding style) → target: user
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- You discover something about the environment (OS, installed tools, project structure, build commands) → target: memory
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- You learn a convention, API quirk, or workflow specific to this user's setup → target: memory
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- You identify a stable fact useful in future sessions → target: memory
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PRIORITY: User preferences and corrections > environment facts > procedural knowledge.
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Do NOT save: task progress, session outcomes, temporary state, things easily re-discovered.
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ACTIONS: add, replace (old_text identifies entry), remove (old_text identifies entry)
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Memory has hard size limits. Adds that exceed the limit are REJECTED.
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Replace or remove existing entries to make room first.
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══════════════════════════════════════════════
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USER PROFILE (who the user is) [60% — 837/1375 chars]
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══════════════════════════════════════════════
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micn strongly dislikes git force pushing — prefers clean history practices like revert commits over rewriting history
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§
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micn works on the goose project — currently active on the micn/goose-memory-learning branch (adaptive memory feature)
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§
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Strongly prefers clean git practices: avoids force pushing, prefers revert commits over rewriting history. Values code hygiene and proper commit discipline.
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§
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Prefers pragmatic solutions over perfect ones. When implementing security/privacy features (like secret redaction), willing to err on the side of over-redaction (false positives) rather than risk leaking secrets (false negatives).
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§
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Prefers minimal PR descriptions: when creating PRs, avoids mentioning sensitive details (e.g., "secrets", "masking") and keeps language high-level/preventative rather than specific about the vulnerability.
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══════════════════════════════════════════════
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MEMORY (your personal notes) [87% — 1914/2200 chars]
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══════════════════════════════════════════════
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Goose issue #8475: User got 401 "User not found" from OpenRouter. Root cause was transient account propagation delay (~23 min), not a goose bug. Same config in both diagnostic bundles (diag7 failed 05:51 UTC, diag8 worked 06:14 UTC). Secondary issue: API key was exposed in public diagnostics zip because it was stored in config.yaml as plaintext instead of in keyring.
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§
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Goose diagnostics redaction approach: Use Shannon entropy (>3.5 bits/char) + character composition heuristics to detect secrets. Secrets are long (≥20 chars), high-entropy, and contain only alphanumeric + hyphens/underscores. Special case: JWTs have exactly 3 dot-separated base64 segments (each ≥4 chars). This catches API keys, bearer tokens, JWTs while preserving URLs, model names, descriptions, hostnames, versions.
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§
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Windows Credential Manager has 2560-byte blob size limit (UTF-16 encoded). Goose stores all secrets as single JSON blob in keyring. If blob exceeds limit, keyring returns Error::TooLong, but is_keyring_availability_error() doesn't catch it (only checks for "keyring", "dbus", "platform secure storage" keywords). Result: write fails entirely, no fallback to file storage. This is a potential bug on Windows with many configured providers.
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§
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Goose config secret storage: Secrets go to keyring via set_secret() (never to config.yaml). If keyring fails with availability error, falls back to secrets.yaml. Normal UI/CLI flows correctly route secrets via set_secret(). If a secret appears in config.yaml, it was either manually edited by user or written by a tool outside goose.
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§
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PR #8567 review feedback from Codex: (1) JWT tokens with dots weren't caught because '.' was in denylist — fixed by special-casing JWT shape (3 dot-separated base64 segments). (2) unwrap_or_default() silently swallowed I/O errors — fixed by using fs::read()? + String::from_utf8_lossy() to propagate errors while handling non-UTF8 gracefully.
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## analyze
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### Instructions
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Analyze code structure using tree-sitter AST parsing. Three auto-selected modes:
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- Directory path → structure overview (file tree with function/class counts)
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- File path → semantic details (functions, classes, imports, call counts)
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- Any path + focus parameter → symbol call graph (incoming/outgoing chains)
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For large codebases, delegate analysis to a subagent and retain only the summary.
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## apps
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apps supports resources.
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### Instructions
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Use this extension to create, manage, and iterate on custom HTML/CSS/JavaScript apps.
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## chatrecall
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### Instructions
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Chat Recall
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Search past conversations and load session summaries when the user expects some memory or context.
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Two modes:
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- Search mode: Use query with keywords/synonyms to find relevant messages
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- Load mode: Use session_id to get first and last messages of a specific session
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## code_execution
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### Instructions
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General:
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- BATCH MULTIPLE TOOL CALLS INTO ONE `execute_typescript` CALL.
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- These tools exists to reduce round-trips. When a task requires multiple tool calls:
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- WRONG: Multiple `execute_typescript` calls, each with one tool
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- RIGHT: One `execute_typescript` call with a script that calls all needed tools
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- Only `return` and `console.log` data you need, tools could have very large responses.
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- IMPORTANT: All tool calls are ASYNC. Use await for each call.
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WORKFLOW:
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1. Use the `list_functions` and `get_function_details` tools to discover tools signatures and input/output types.
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2. Write ONE script that calls ALL tools needed for the task and execute that script with `execute_typescript`, no need to import anything, all the namespaces returned by `list_functions` and `get_function_details` will be available globally.
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## developer
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### Instructions
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Use the developer extension to build software and operate a terminal.
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Make sure to use the tools *efficiently* - reading all the content you need in as few
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iterations as possible and then making the requested edits or running commands. You are
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responsible for managing your context window, and to minimize unnecessary turns which
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cost the user money.
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For editing software, prefer the flow of using tree to understand the codebase structure
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and file sizes. When you need to search, prefer rg which correctly respects gitignored
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content. Then use cat or sed to gather the context you need, always reading before editing.
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Use write and edit to efficiently make changes. Test and verify as appropriate.
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## orchestrator
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### Instructions
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Manage agent sessions: list, view, start, send messages, and interrupt agents.
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## skills
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### Instructions
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You have these skills at your disposal, when it is clear they can help you solve a problem or you are asked to use them:
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• agent-tools - Use when interacting with Block services — Slack, Google Drive, Google Calendar, Gmail, Snowflake, Jira, GitHub, Glean, Salesforce, Datadog, Linear, Airtable, PagerDuty, Sentry, Notion, Workday, Asana, and more. Always load this skill before accessing any Block service.
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• goose-doc-guide - Reference goose documentation to create, configure, or explain goose-specific features like recipes, extensions, sessions, and providers. You MUST fetch relevant goose docs before answering. You MUST NOT rely on training data or assumptions for any goose-specific fields, values, names, syntax, or commands.
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## summarize
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## summon
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## todo
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### Instructions
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Your todo content is automatically available in your context.
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Workflow:
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- Start: write initial checklist
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- During: update progress
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- End: verify all complete
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Template:
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- [x] Requirement 1
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- [ ] Task
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- [ ] Sub-task
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- [ ] Requirement 2
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- [ ] Another task
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## tom
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# Response Guidelines
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Use Markdown formatting for all responses.
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# Knowledge Management
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When working with memory and skills extensions:
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## Memory
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The most valuable memory prevents the user from having to repeat themselves.
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Save proactively — don't wait to be asked:
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- User corrects you or says "remember this" / "don't do that again" → save immediately
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- User shares a preference, habit, or personal detail → save to target "user"
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- You discover something about the environment (OS, tools, project structure, build commands) → save to target "memory"
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- You learn a convention, API quirk, or workflow specific to this user's setup → save to target "memory"
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- Do NOT save: task progress, session outcomes, temporary state, things easily re-discovered
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Priority: User preferences and corrections > environment facts > procedural knowledge.
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When memory is at capacity, curate: replace outdated entries, remove low-value ones, consolidate related entries.
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## Skills
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After completing complex work (many tool calls, error recovery, or non-obvious workflows),
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consider saving a reusable skill with create_skill.
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If you loaded a skill and found it wrong or incomplete, patch it immediately with patch_skill.
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Skills that aren't maintained become liabilities.

crates/goose/src/context_mgmt/mod.rs

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@@ -148,11 +148,22 @@ pub async fn compact_messages(
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let messages_to_compact = messages.as_slice();
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let adaptive_memory_active = match extension_manager {
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Some(ext_mgr) => {
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ext_mgr
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.is_extension_enabled(
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crate::agents::platform_extensions::adaptive_memory::EXTENSION_NAME,
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)
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.await
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}
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None => false,
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};
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let (summary_message, summarization_usage) = do_compact(
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provider,
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session_id,
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messages_to_compact,
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extension_manager.is_some(),
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adaptive_memory_active,
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)
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.await?;
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