combined-ai/isplay/isplay-analysis
Claude Code and agent skill by combined-ai/isplay
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Investigate why an AI agent made a decision from an isplay run. Use for captured runs, replay traces, counterfactual hypothesis tests, fixture requirements, diffs, effects, and evidence-bounded RCA reports. Start from the single investigation bundle, follow its workflow state, and never claim more than the replay evidence supports.
Install
npx vskill@latest install combined-ai/isplay/isplay-analysisSKILL.md
Investigate Agent Decisions With isplay
Goal
Explain an agent decision from captured evidence and controlled replay. Do not infer intent from the final answer alone and do not claim causal proof.
Core Loop
- Establish
ISPLAY_API_URL,ISPLAY_PROJECT_ID, andrunId. IfrunIdis absent, useisplay runs list --project "$ISPLAY_PROJECT_ID"and select the run that matches the user's task; do not silently guess between plausible runs. - Run
isplay investigate <runId>. Treat itsstateas authoritative:
needs_capture: stop the analysis and report the fields inmissingEvidence.needs_checkpoint: stop counterfactual work and ask for a newly captured run with a checkpoint before the decision.ready_to_test: write the observed baseline, then test hypotheses.replay_in_progress: wait or inspect the job; do not interpret partial output.needs_fixture: inspect the open requirement. Add a fixture only with explicit provenance and authority.replay_failed: report the failure; do not turn it into a decision explanation.ready_to_report: write the evidence-bounded report.
- Form at most three hypotheses. Each must change one prompt/context item, tool argument/result, or checkpoint state field and predict one observable effect.
- Run one hypothesis batch with
recorded-onlymodel policy,pause-for-fixturetool policy, and three repetitions. Never enable live models or tools unless the user explicitly asks and the environment authorizes it. - Resolve only the fixture requirements necessary for the selected hypotheses. Never describe an analyst, AI, or simulator fixture as observed or live output.
- Run
isplay investigate <runId> --replay <replayId>for each candidate replay used in the conclusion. - Report observed baseline facts separately from replay-backed effects. Include IDs, first divergence, comparability, fixture provenance, validity labels, residual uncertainty, and the smallest useful next test.
Evidence Rules
- Cite IDs and hashes from the bundle; do not reconstruct missing prompt or tool content.
- Prefer the earliest checkpoint before the suspected decision.
- Use
expectedBaseHashwhen changing captured context. - Reject broad prompt rewrites and multi-variable interventions as first tests.
- Treat a single trial, fixture-dependent result, nondeterministic result, or non-comparable trace as inconclusive.
- Phrase replay findings as “under this intervention” or “under this fixture,” never as causal certainty.
References
- Read
references/recipes.mdbefore creating experiments or fixtures; it contains exact JSON and commands. - Read
references/trace-reading.mdwhen interpreting context, first divergence, comparability, or fixture provenance. - Read
references/hypothesis-playbook.mdwhen hypotheses are not obvious from the baseline. - Read
references/report-template.mdimmediately before writing the final report. - Read
references/platform-map.mdonly when an API/CLI field or object is unclear. - Read
references/tutorial.mdfor a complete worked sequence.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingresources/skills/isplay-analysis/SKILL.md
Popularity
- Repository stars
- 69
- 7-day trend score
- 21
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