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Audit a skill by running a paired probe — the same task once with the skill loaded and once without — segment both traces into goal-directed phases, align phases, and emit a SIP report (surface anchoring, template copy, excess planning, task recovery, off-task artifact). Use
Claude Code
$ npx -y skills add Tibsfox/gsd-skill-creator --skill skill-counterfactual-audit --agent claude-code
Codex
$ npx skills add Tibsfox/gsd-skill-creator --skill skill-counterfactual-audit -a codex -y
Cursor
$ npx skills add Tibsfox/gsd-skill-creator --skill skill-counterfactual-audit -a cursor -y
Gemini CLI
$ npx skills add Tibsfox/gsd-skill-creator --skill skill-counterfactual-audit -a gemini-cli -y
GitHub Copilot
$ npx skills add Tibsfox/gsd-skill-creator --skill skill-counterfactual-audit -a github-copilot -y
OpenCode
$ npx skills add Tibsfox/gsd-skill-creator --skill skill-counterfactual-audit -a opencode -y
Windsurf
$ npx skills add Tibsfox/gsd-skill-creator --skill skill-counterfactual-audit -a windsurf -y
name: skill-counterfactual-audit description: > Audit a skill by running a paired probe — the same task once with the skill loaded and once without — segment both traces into goal-directed phases, align phases, and emit a SIP report (surface anchoring, template copy, excess planning, task recovery, off-task artifact). Use whenever a skill is created, modified, or proposed for retirement. Pass-rate is BLIND to most skill effects: CTA (arxiv 2605.11946v1) shows a single skill can produce 522 measurable behavioural changes across 49 tasks while pass-rate moves only +0.3%. Triggers: "audit this skill", "is this skill helping", "retire skill", "before shipping skill", "behavioural impact of skill X", or any skill review event. user-invocable: true version: 1.0.0 format: 2025-10-02 triggers: - "audit this skill" - "is this skill helping" - "behavioural impact of skill" - "retire this skill" - "before shipping a skill" updated: 2026-05-16 status: ACTIVE source: arxiv 2605.11946v1 (Counterfactual Trace Audit / CTA)
When you ship a skill, pass-rate is the easy metric — and it's *blind* to almost everything that matters. CTA (arxiv 2605.11946v1) shows a single skill can produce **522 measurable behavioural changes** across 49 tasks while pass-rate moves only **+0.3%**. The interesting effects (surface anchoring on the skill's vocabulary, template copy without adaptation, excess planning loops, recovery from off-task drift, generation of off-task artifacts) live entirely below pass-rate.
The remedy is a paired-trace audit: run the same probe task twice, with and without the skill, and *compare the behaviours directly* rather than the headline metric.
For each skill under audit:
1. **Curate a probe-task bank** (3-5 small tasks per skill domain). Each task should have:
2. **Run paired** — same prompt, same task, run A *with* skill loaded, run B *without*. 3. **Segment each trace** — phases like {plan, retrieve, edit, verify, fix-loop, summary}. 4. **Align phases** — match B phases to A phases; mark new/dropped/displaced phases. 5. **Classify SIP (Skill Influence Pattern)** — for each aligned phase, label the effect:
6. **Emit report** to `.planning/patterns/skill-audits/<skill>-<timestamp>.md` with phase comparison table + SIP distribution + retire/refine/keep recommendation.
| Dominant SIP | Verdict | |---|---| | task-recovery + correct artifacts | **keep** (genuine value) | | surface-anchoring with no task-recovery | **refine** (skill is leaking style, not capability) | | template-copy on most tasks | **refine** (lower template specificity) | | off-task-artifact on >25% of probes | **retire** (skill is causing distraction) | | excess-planning with no completion delta | **refine** (skill adds ceremony) |
An adaptive learning and coprocessor architecture for Claude Code, built as an extension to GSD (open-gsd)
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