[experiment] skill auto improve#210
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Score: 98.44% Delta: 1.00%
Score: 98.08% Delta: 1.00%
Score: 97.64% Delta: 1.36%
Score: 97.96% Delta: 0.32%
Score: 98.44% Delta: 0.48%
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Training iteration: 1 Changed file: auto-improve-skills/skills/remote-host-diagnostics/SKILL.md Benchmark report: auto-improve-skills/runs/train-20260501T123257Z/iter-001/result.json Benchmark suite: remote-host-diagnostics-quality Model: openai-codex/gpt-5.5 Score summary: - Quality: 492.30/500.00 (98.46%) - Objective: 98.30/100.00 (98.30%, delta +3.13 pp) - Average case duration: 88.8s (score 96.07%) - Skill size: 1897 estimated tokens, 7587 bytes (score 100.00%) - Objective config: quality=0.85 duration=0.10 skill_size=0.05; duration budget/hard=120s/300s; skill-size target/hard=2000/3500 tokens Per-case scores: - datadog-agent-config-regression: 98.8/100.0 (98.8%), duration 148.6s, commands 17, failed tool calls 2, judge 96.0 Criteria: all deterministic checks passed - auth-bruteforce-summary: 95.9/100.0 (95.9%), duration 55.5s, commands 12, failed tool calls 0, judge 98.0 Failed criteria: - final avoids claiming account compromise from fixture evidence (not regex "compromised|successful.*198\\.51\\.100\\.23"): 0/5.0 - checkout-500-root-cause: 99.4/100.0 (99.4%), duration 126.7s, commands 13, failed tool calls 0, judge 98.0 Criteria: all deterministic checks passed - container-host-log-fallback: 98.8/100.0 (98.8%), duration 66.0s, commands 9, failed tool calls 1, judge 96.0 Criteria: all deterministic checks passed - unsupported-ss-flag-recovery: 99.4/100.0 (99.4%), duration 47.4s, commands 5, failed tool calls 0, judge 98.0 Criteria: all deterministic checks passed Researcher summary: Updated `auto-improve-skills/skills/remote-host-diagnostics/SKILL.md` only. Changes: - Tightened workflow to reduce redundant `help` calls and repeated greps. - Added explicit stop criteria and guidance to combine focused bounded searches. - Preserved safety rules: local `./rshell` via Bash, read-only, `--allowed-paths`, no remote-action tools. - Made final-answer command reporting more explicit: include decisive grep/count patterns, not just “targeted greps.” - Kept general diagnostic patterns without hard-coding benchmark facts. Shorter: yes — reduced from ~10,883 bytes / 1,541 words to ~7,587 bytes / 1,043 words. Validation: - Ran `make fmt`. - `git status` shows only the skill file modified. Change summary: .../skills/remote-host-diagnostics/SKILL.md | 139 ++++++++------------- 1 file changed, 51 insertions(+), 88 deletions(-)
Training iteration: 4 Changed file: auto-improve-skills/skills/remote-host-diagnostics/SKILL.md Benchmark report: auto-improve-skills/runs/train-20260501T123257Z/iter-004/result.json Benchmark suite: remote-host-diagnostics-quality Model: openai-codex/gpt-5.5 Score summary: - Quality: 494.90/500.00 (98.98%) - Objective: 98.91/100.00 (98.91%, delta +0.61 pp) - Average case duration: 93.4s (score 97.79%) - Skill size: 1866 estimated tokens, 7462 bytes (score 100.00%) - Objective config: quality=0.85 duration=0.10 skill_size=0.05; duration budget/hard=120s/300s; skill-size target/hard=2000/3500 tokens Per-case scores: - datadog-agent-config-regression: 98.8/100.0 (98.8%), duration 138.7s, commands 14, failed tool calls 0, judge 96.0 Criteria: all deterministic checks passed - auth-bruteforce-summary: 98.5/100.0 (98.5%), duration 73.9s, commands 5, failed tool calls 0, judge 95.0 Criteria: all deterministic checks passed - checkout-500-root-cause: 99.4/100.0 (99.4%), duration 121.2s, commands 14, failed tool calls 0, judge 98.0 Criteria: all deterministic checks passed - container-host-log-fallback: 99.4/100.0 (99.4%), duration 75.6s, commands 8, failed tool calls 1, judge 98.0 Criteria: all deterministic checks passed - unsupported-ss-flag-recovery: 98.8/100.0 (98.8%), duration 57.4s, commands 5, failed tool calls 0, judge 96.0 Criteria: all deterministic checks passed Researcher summary: Edited only `auto-improve-skills/skills/remote-host-diagnostics/SKILL.md`. Changes: - Added stronger efficiency guidance: prefer composite multi-file greps, avoid redundant narrower retries, combine counts, and stop once evidence is sufficient. - Strengthened SSH negative-finding wording to prefer “No accepted login…” and avoid “successful … <source>” unless evidenced. - Tightened socket, Datadog, HTTP, and container-log guidance to reduce extra commands while preserving evidence quality. - Reinforced final answer command reporting: include decisive exact grep/count patterns, not vague “targeted greps.” Size: shorter than before — `7587 → 7462` bytes and `1043 → 1031` words. Ran `make fmt`. Change summary: .../skills/remote-host-diagnostics/SKILL.md | 60 ++++++++++------------ 1 file changed, 27 insertions(+), 33 deletions(-)
Training iteration: 1 Changed file: auto-improve-skills/skills/remote-host-diagnostics/SKILL.md Benchmark report: auto-improve-skills/runs/train-20260503T232530Z/iter-001/result.json Benchmark suite: remote-host-diagnostics-quality Model: gpt-5.5 Score summary: - Quality: 904.80/1100.00 (82.25%) - Objective: 83.21/100.00 (80.10% -> 83.21%, delta +3.11 pp) - Average case duration: 109.8s (score 74.58%) - Skill size: 1277 estimated tokens, 5107 bytes (score 100.00%) - Objective config: quality=0.85 duration=0.10 skill_size=0.10; duration budget/hard=45s/300s Holdout gate: - Report: auto-improve-skills/runs/train-20260503T232530Z/iter-001/holdout/result.json - Quality: 493.70/500.00 (98.74%; floor 96.52%) - Objective: 96.51% Researcher summary: **Changes** - Updated [SKILL.md](/Users/alexandre.yang/worktrees/rshell/rshell-skill-auto-improve/auto-improve-skills/skills/remote-host-diagnostics/SKILL.md) only. - Added stricter hard rules for literal `--allowed-paths`, help-based capability discovery, and avoiding claims of real remote access. - Replaced the brief workflow with a bounded evidence workflow: inventory roots, use explicit files, avoid `grep -R` / `find ... -exec grep`, use `grep -m` / `grep -c` / `head` / `wc`, correlate, then stop. - Added general evidence patterns for auth, HTTP/service, agent/check, socket, and containerized log fallback investigations. - Added a final-answer contract covering commands run, finding, evidence, unsupported hypotheses, uncertainty, and safe next checks. **Why** - Literal allowlists and help discovery improve safety, auditability, and portability across restricted rshell deployments. - Bounded file selection and max-count/count filters should reduce investigation time and large tool outputs. - The correlation and competing-hypothesis steps improve answer quality by pushing agents to separate current evidence from recovered, unrelated, or historical noise. - The final-answer contract targets common quality gaps: missing absolute timestamp windows, unclear evidence grounding, unsupported alternatives, and unsafe remediation wording. Verification: ran `make fmt`; `git status --short` shows only the skill file modified. Change summary: .../skills/remote-host-diagnostics/SKILL.md | 38 +++++++++++++++++----- 1 file changed, 29 insertions(+), 9 deletions(-)
Training iteration: 2 Changed file: auto-improve-skills/skills/remote-host-diagnostics/SKILL.md Benchmark report: auto-improve-skills/runs/train-20260503T232530Z/iter-002/result.json Benchmark suite: remote-host-diagnostics-quality Model: gpt-5.5 Score summary: - Quality: 933.80/1100.00 (84.89%) - Objective: 85.34/100.00 (83.21% -> 85.34%, delta +2.12 pp) - Average case duration: 114.8s (score 74.46%) - Skill size: 1517 estimated tokens, 6066 bytes (score 100.00%) - Objective config: quality=0.85 duration=0.10 skill_size=0.10; duration budget/hard=45s/300s Holdout gate: - Report: auto-improve-skills/runs/train-20260503T232530Z/iter-002/holdout/result.json - Quality: 494.60/500.00 (98.92%; floor 97.74%) - Objective: 97.07% Researcher summary: **Changes** - Rewrote `auto-improve-skills/skills/remote-host-diagnostics/SKILL.md` around a tighter evidence loop. - Added stronger guidance to limit broad log sweeps, combine related read-only checks, and stop once the finding is supported. - Added domain-specific checks for auth, HTTP/service, agent/check, container fallback, and socket diagnostics. - Strengthened the final-answer contract with a self-check for source files, timestamps, raw evidence wording, limitations, and safe next checks. - Ran `make fmt`. **Why** - The tighter loop should reduce investigation time by encouraging one capability check, one inventory pass, targeted candidate files, and bounded correlation instead of repeated broad searches. - The domain checks improve final-answer quality by making agents gather the evidence that distinguishes current causes from recovered, historical, different-source, or unsupported alternatives. - The socket guidance improves efficiency and correctness by telling agents to rely on `help ss`, use supported socket queries, and report capability limits instead of chasing unavailable tools. - The final self-check is meant to reduce vague conclusions by requiring concrete command/file evidence, exact message fragments, and explicit uncertainty. Change summary: .../skills/remote-host-diagnostics/SKILL.md | 59 +++++++++++++--------- 1 file changed, 35 insertions(+), 24 deletions(-)
Training iteration: 4 Changed file: auto-improve-skills/skills/remote-host-diagnostics/SKILL.md Benchmark report: auto-improve-skills/runs/train-20260503T232530Z/iter-004/result.json Benchmark suite: remote-host-diagnostics-quality Model: gpt-5.5 Score summary: - Quality: 937.70/1100.00 (85.25%) - Objective: 86.34/100.00 (85.34% -> 86.34%, delta +1.00 pp) - Average case duration: 89.4s (score 81.95%) - Skill size: 1808 estimated tokens, 7230 bytes (score 100.00%) - Objective config: quality=0.85 duration=0.10 skill_size=0.10; duration budget/hard=45s/300s Holdout gate: - Report: auto-improve-skills/runs/train-20260503T232530Z/iter-004/holdout/result.json - Quality: 494.30/500.00 (98.86%; floor 97.92%) - Objective: 96.80% Researcher summary: **Changes** Updated [SKILL.md](/Users/alexandre.yang/worktrees/rshell/rshell-skill-auto-improve/auto-improve-skills/skills/remote-host-diagnostics/SKILL.md) only. - Tightened the evidence loop from “five to eight” to “three to six” rshell invocations. - Added exact `--allowed-paths` guidance for every prompt-provided root. - Added a “field ledger” habit for preserving decisive raw tokens from log lines. - Added count-first guidance for high-volume logs. - Strengthened final-answer rules to list only commands actually run. - Sharpened agent/check and socket diagnostic guidance. **Why** - The field-ledger guidance improves final-answer quality by making agents preserve small but critical evidence fields instead of paraphrasing them away. - Exact root allowlisting improves sandbox evidence and reduces missed credit from overly broad or mismatched path handling. - Count-first and representative-sample guidance should reduce output volume and end-to-end time without weakening evidence. - The “commands actually run” rule reduces evidence mismatches, especially when recovering from unsupported flags. - Socket guidance now pushes agents to use `help ss` and then run one supported listening TCP query, which is faster and better grounded. Verification: ran `make fmt`. Also ran `git diff --check -- auto-improve-skills/skills/remote-host-diagnostics/SKILL.md`; it exited cleanly, though git printed an fsmonitor IPC warning. Change summary: .../skills/remote-host-diagnostics/SKILL.md | 24 ++++++++++++---------- 1 file changed, 13 insertions(+), 11 deletions(-)
Training iteration: 5 Changed file: auto-improve-skills/skills/remote-host-diagnostics/SKILL.md Benchmark report: auto-improve-skills/runs/train-20260503T232530Z/iter-005/result.json Benchmark suite: remote-host-diagnostics-quality Model: gpt-5.5 Score summary: - Quality: 926.70/1100.00 (84.25%) - Objective: 86.61/100.00 (86.34% -> 86.61%, delta +0.27 pp) - Average case duration: 74.0s (score 93.32%) - Skill size: 1960 estimated tokens, 7838 bytes (score 100.00%) - Objective config: quality=0.85 duration=0.10 skill_size=0.10; duration budget/hard=60s/300s Holdout gate: - Report: auto-improve-skills/runs/train-20260503T232530Z/iter-005/holdout/result.json - Quality: 495.50/500.00 (99.10%; floor 97.92%) - Objective: 97.97% Researcher summary: **Changes** Updated `auto-improve-skills/skills/remote-host-diagnostics/SKILL.md` only. - Replaced the broader evidence loop with a tighter three-step run plan: capability/map, focused triage, confirmation. - Added explicit stop conditions to reduce repeated scans and oversized outputs. - Added an evidence ledger requiring raw file/time/status/count/source fields for important claims. - Strengthened domain guidance for authentication, HTTP/service, agent/check, container fallback, and socket diagnostics. - Added final-answer verification checks for cause, consequence, counter-hypothesis, exact counts, and unsupported capabilities. **Why** These changes should improve investigation speed by steering agents toward fewer, more targeted rshell invocations and smaller outputs. They should also protect final-answer quality by requiring the decisive cause, downstream effect, and rejected hypotheses to each be grounded in concrete command output. Ran `make fmt` successfully. `git status` shows only the allowed skill file modified; git emitted an fsmonitor warning but still reported the expected status. Change summary: .../skills/remote-host-diagnostics/SKILL.md | 44 +++++++++++++--------- 1 file changed, 26 insertions(+), 18 deletions(-)
Training iteration: 1 Changed file: auto-improve-skills/skills/remote-host-diagnostics/SKILL.md Benchmark report: auto-improve-skills/runs/train-20260504T003819Z/iter-001/result.json Benchmark suite: remote-host-diagnostics-quality Model: gpt-5.5 Score summary: - Quality: 951.70/1100.00 (86.52%) - Objective: 88.47/100.00 (86.09% -> 88.47%, delta +2.38 pp) - Average case duration: 74.8s (score 93.49%) - Skill size: 1999 estimated tokens, 7996 bytes (score 100.00%) - Objective config: quality=0.85 duration=0.10 skill_size=0.10; duration budget/hard=60s/300s Holdout gate: - Report: auto-improve-skills/runs/train-20260504T003819Z/iter-001/holdout/result.json - Quality: 465.70/500.00 (93.14%; floor 78.58%) - Objective: 93.68% Researcher summary: **Changes** - Updated [SKILL.md](/Users/alexandre.yang/worktrees/rshell/rshell-skill-auto-improve/auto-improve-skills/skills/remote-host-diagnostics/SKILL.md:20) to favor two or three bounded rshell invocations, early aggregation, explicit candidate files, and clearer stop criteria. - Strengthened domain guidance for auth aggregation, HTTP decoy disposition, certificate material-vs-timing checks, and socket `help ss` recovery. - Added a final-answer guard requiring `Commands run` to match the transcript exactly. **Why** - The workflow should reduce investigation time by avoiding broad timestamp/error sweeps, repeated all-file scans, and oversized context dumps. - The answer-quality changes target general failure modes: missing counts, weak alternate-hypothesis disposal, unsupported socket/process claims, and final answers that mention commands or errors not actually observed. - The edit stays general and does not add fixture-specific paths, IDs, timestamps, line numbers, or expected-answer text. Verification: ran `make fmt` from `auto-improve-skills` and `git diff --check`. Only the skill file is modified. I did not run benchmarks to avoid writing new run artifacts. Change summary: .../skills/remote-host-diagnostics/SKILL.md | 29 +++++++++++----------- 1 file changed, 15 insertions(+), 14 deletions(-)
Training iteration: 1 Changed file: auto-improve-skills/skills/remote-host-diagnostics/SKILL.md Benchmark report: auto-improve-skills/runs/train-20260504T055519Z/iter-001/result.json Benchmark suite: remote-host-diagnostics-quality Model: gpt-5.5 Score summary: - Quality: 931.30/1100.00 (84.66%) - Objective: 86.37/100.00 (84.40% -> 86.37%, delta +1.98 pp) - Average case duration: 89.7s (score 87.26%) - Skill size: 1919 estimated tokens, 7675 bytes (score 100.00%) - Objective config: quality=0.85 duration=0.10 skill_size=0.10; duration budget/hard=60s/300s Holdout gate: - Report: auto-improve-skills/runs/train-20260504T055519Z/iter-001/holdout/result.json - Quality: 496.70/500.00 (99.34%; floor 78.04%) - Objective: 98.14% Researcher summary: **Changes** Updated [SKILL.md](/Users/alexandre.yang/worktrees/rshell/rshell-skill-auto-improve/auto-improve-skills/skills/remote-host-diagnostics/SKILL.md) only. - Reworked the workflow into a faster 2-3 invocation plan: discovery, one cross-layer triage pass, then decisive confirmation only. - Added stronger command-discipline guidance for bounded aggregation, explicit candidate files, transcript-clean labels, and avoiding repeated all-file scans. - Tightened branch guidance for auth, HTTP/service, agent/check, certificate/container, and socket investigations. - Made socket diagnostics require an actual help-supported canonical listening TCP query before variants. - Strengthened final-answer checks around exact transcript matching, numeric counts, recovery/current-state labels, and unsupported capabilities. **Why** These changes aim to preserve final-answer quality while reducing investigation time: collect enough cross-layer evidence earlier, dispose of alternate hypotheses in the same pass, and stop once cause/consequence/uncertainty are proven. The socket and final-answer changes target general transcript accuracy risks, especially claiming commands or capabilities not actually observed. Validation: ran `make fmt` and `git diff --check`; only `SKILL.md` is modified. Change summary: .../skills/remote-host-diagnostics/SKILL.md | 57 +++++++++------------- 1 file changed, 24 insertions(+), 33 deletions(-)
Training iteration: 2 Changed file: auto-improve-skills/skills/remote-host-diagnostics/SKILL.md Benchmark report: auto-improve-skills/runs/train-20260504T064829Z/iter-002/result.json Benchmark suite: remote-host-diagnostics-quality Model: gpt-5.5 Score summary: - Quality: 930.40/1100.00 (84.58%) - Objective: 86.15/100.00 (83.46% -> 86.15%, delta +2.69 pp) - Average case duration: 80.7s (score 89.57%) - Skill size: 2059 estimated tokens, 8236 bytes (score 96.07%) - Objective config: quality=0.85 duration=0.10 skill_size=0.10; duration budget/hard=60s/300s Holdout gate: - Report: auto-improve-skills/runs/train-20260504T064829Z/iter-002/holdout/result.json - Quality: 396.40/500.00 (79.28%; floor 78.46%) - Objective: 81.69% Researcher summary: **Changes** Updated only `auto-improve-skills/skills/remote-host-diagnostics/SKILL.md`. - Added a hard rule to actually run `rshell` and avoid diagnosing from prompt/static knowledge without transcript evidence. - Tightened `--allowed-paths` guidance so every file-reading invocation includes literal roots in the command line. - Kept the two-to-three invocation workflow, but clarified when an extra targeted pass is justified: missing actor/source attribution or missing counter-hypothesis evidence. - Added visible bounded-filter guidance for `grep -Hc`, `grep -Hn -m`, `head`, `tail`, and `wc`. - Strengthened branch guidance for auth same-source success checks, HTTP limiting-resource actor attribution, container host-log fallback, and socket `help ss` plus supported query flow. - Added a final transcript-faithfulness guard for zero-command or mismatched-command cases. **Why** These changes target quality without pushing agents to stop prematurely. Literal allowlists, transcript evidence, and exact command summaries improve auditability. Visible bounded filters and explicit candidate-file triage should reduce unnecessary output and investigation time. The branch-specific additions address common diagnostic failure modes in general terms: false attribution to historical noise, missing source/actor evidence, confusing empty container roots with missing evidence, and claiming unsupported socket/process details. Verification: ran `make fmt`; only the skill file is modified. Change summary: .../skills/remote-host-diagnostics/SKILL.md | 30 ++++++++++++---------- 1 file changed, 16 insertions(+), 14 deletions(-)
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Training iteration: 2 Changed file: auto-improve-skills/skills/remote-host-diagnostics/SKILL.md Benchmark report: auto-improve-skills/runs/train-20260504T073406Z/iter-002/result.json Benchmark suite: remote-host-diagnostics-quality Model: gpt-5.5 Score summary: - Quality: 935.80/1100.00 (85.07%) - Objective: 85.46/100.00 (80.23% -> 85.46%, delta +5.22 pp) - Average case duration: 92.0s (score 86.14%) - Skill size: 2141 estimated tokens, 8563 bytes (score 90.60%) - Objective config: quality=0.85 duration=0.10 skill_size=0.05; duration budget/hard=60s/300s Holdout gate: - Report: auto-improve-skills/runs/train-20260504T073406Z/iter-002/holdout/result.json - Quality: 493.10/500.00 (98.62%; floor 98.10%) - Objective: 97.76% Researcher summary: **Changes** - Rewrote [SKILL.md](/Users/alexandre.yang/worktrees/rshell/rshell-skill-auto-improve/auto-improve-skills/skills/remote-host-diagnostics/SKILL.md) around a two-pass diagnostic workflow. - Added transcript-friendly command templates: `help` immediately after `-c`, literal `--allowed-paths`, and separate bounded grep flags. - Tightened final-answer requirements around actual commands run, cause, impact, counter-hypotheses, unsupported capabilities, and safe next checks. - Refined diagnostic cues for auth, service/backend, agent telemetry, certificate/container fallback, and sockets without adding case-specific facts. **Why** - The command-shape guidance should improve quality by making capability discovery, bounded filters, and allowed paths visible in transcripts. - The two-pass workflow should reduce investigation time by avoiding repeated broad scans after candidate files are known. - The stronger final self-check reduces hallucinated command history, unsupported socket/process claims, and weak counter-hypothesis handling. - The branch cues preserve general diagnostic coverage while steering agents toward concise, evidence-grounded conclusions. Verification: ran `make fmt` and `git -c core.fsmonitor=false diff --check -- auto-improve-skills/skills/remote-host-diagnostics/SKILL.md`. I did not run the benchmark suite because that would create run artifacts outside the requested edit scope. Change summary: .../skills/remote-host-diagnostics/SKILL.md | 90 ++++++++++++++-------- 1 file changed, 58 insertions(+), 32 deletions(-)
Training iteration: 3 Changed file: auto-improve-skills/skills/remote-host-diagnostics/SKILL.md Benchmark report: auto-improve-skills/runs/train-20260504T084726Z/iter-003/result.json Benchmark suite: remote-host-diagnostics-quality Model: gpt-5.5 Score summary: - Quality: 955.00/1100.00 (86.82%) - Objective: 87.11/100.00 (83.74% -> 87.11%, delta +3.38 pp) - Average case duration: 79.6s (score 91.25%) - Skill size: 2243 estimated tokens, 8972 bytes (score 83.80%) - Objective config: quality=0.85 duration=0.10 skill_size=0.05; duration budget/hard=60s/300s Holdout gate: - Report: auto-improve-skills/runs/train-20260504T084726Z/iter-003/holdout/result.json - Quality: 860.00/1000.00 (86.00%; floor 66.05%) - Objective: 86.66% Researcher summary: **Changes** Updated [SKILL.md](/Users/alexandre.yang/worktrees/rshell/rshell-skill-auto-improve/auto-improve-skills/skills/remote-host-diagnostics/SKILL.md) only. - Clarified inventory should use `head` to cap file lists, not sample every discovered file. - Added guidance to combine prompt-named red-herring checks into triage/confirm scripts. - Tightened output bounds with capped `grep -m` samples and safe `printf` labels. - Strengthened final-answer requirements for full timestamps, exact “since”/impact markers, and no reconstructed commands when no rshell transcript exists. **Why** These changes target efficiency without removing the domain-specific cues that drove strong public quality. Smaller inventories and capped samples should reduce transcript size and investigation time. The final-answer checks address general auditability gaps: exact time windows, same-incident impact evidence, and command provenance. Validation: ran `make fmt` and `git -c core.fsmonitor=false diff --check` successfully. I did not run benchmarks because that would create or modify run artifacts outside the permitted edit scope. Change summary: .../skills/remote-host-diagnostics/SKILL.md | 85 ++++++++++------------ 1 file changed, 37 insertions(+), 48 deletions(-)
Training iteration: 1 Changed file: auto-improve-skills/skills/remote-host-diagnostics/SKILL.md Benchmark report: auto-improve-skills/runs/train-20260504T100522Z/iter-001/result.json Benchmark suite: remote-host-diagnostics-quality Model: gpt-5.5 Score summary: - Quality: 886.20/1100.00 (80.56%) - Objective: 81.53/100.00 (81.34% -> 81.53%, delta +0.19 pp) - Average case duration: 87.4s (score 86.78%) - Skill size: 2188 estimated tokens, 8751 bytes (score 87.47%) - Objective config: quality=0.85 duration=0.10 skill_size=0.05; duration budget/hard=60s/300s Holdout gate: - Report: auto-improve-skills/runs/train-20260504T100522Z/iter-001/holdout/result.json - Quality: 776.00/1000.00 (77.60%; floor 66.77%) - Objective: 79.05% Researcher summary: **Changes** - Updated [SKILL.md](/Users/alexandre.yang/worktrees/rshell/rshell-skill-auto-improve/auto-improve-skills/skills/remote-host-diagnostics/SKILL.md) only. - Tightened the workflow around two `rshell` invocations, explicit primary/fallback roots, and listing only commands that actually ran. - Added stronger guidance to quote decisive evidence phrases, probe resource-limit drivers, disambiguate x509 timing vs material issues, and recover from unsupported socket flags with a help-informed supported query. **Why** - Exact log phrasing and transcript-backed command summaries improve final-answer quality and reduce hallucinated evidence. - Combining inventory and triage keeps investigations bounded and should reduce end-to-end time. - The resource, certificate, and socket additions target general diagnostic failure modes without encoding benchmark-specific facts. **Verification** - Ran `make fmt`. - Ran `git diff --check -- auto-improve-skills/skills/remote-host-diagnostics/SKILL.md`; it exited cleanly, with the existing git fsmonitor IPC warning printed. Change summary: .../skills/remote-host-diagnostics/SKILL.md | 42 +++++++++++----------- 1 file changed, 22 insertions(+), 20 deletions(-)
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TODO:
Skill https://github.com/DataDog/rshell/blob/rshell-skill-auto-improve/auto-improve-skills/skills/remote-host-diagnostics/SKILL.md
What does this PR do?
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Testing
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