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finding-experiments

Resolves a PostHog experiment reference from natural language to a concrete experiment ID by browsing `experiment-list` (not feature-flag tools), with disambiguation when multiple experiments match. Use when the user names or quotes an experiment ("split test demo", "the File engagement boost experiment", "onboarding retention test", "landing page hero experiment", "pricing experiment"), describes it loosely ("the signup experiment", "my pricing test", "the one with the new checkout"), uses a relative reference ("latest", "most recent", "the one I created yesterday"), filters by status (running, draft, paused, exposure frozen, stopped, archived), or otherwise refers to an experiment by anything other than its concrete ID.

77

Quality

97%

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The risk profile of this skill

SKILL.md
Quality
Evals
Security

Quality

Content

93%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A tight, well-structured skill body that gives concrete tool-level guidance and explicit branching for match resolution, including a confirmation checkpoint before destructive actions. The only minor gap is the absence of an explicit error-recovery feedback loop in the workflow.

Suggestions

Add a brief error-recovery note for the flag-key branch (e.g., what to do when `experiment-get-by-flag-key` returns `ambiguous` beyond picking a candidate) to close the workflow_clarity gap.

Consider an explicit 'verify the resolved ID matches the user's intent before acting' checklist step to strengthen the destructive-action validation checkpoint.

DimensionReasoningScore

Conciseness

Lean and efficient: it assumes Claude's knowledge (no preamble about what PostHog or experiments are) and every section earns its place, including the non-obvious flag-key semantics.

5 / 5

Actionability

Fully actionable: names the exact MCP tools (`experiment-list`, `experiment-get-by-flag-key`, `experiment-get`, `experiment-create`), their return fields, and concrete branch handling for one/multiple/no matches with a worked example.

5 / 5

Workflow Clarity

Clear sequence (find → resolve → confirm → get details) with explicit checkpoints (confirm before destructive actions, disambiguate multiple, handle no matches), but no explicit error-recovery feedback loop, leaving a minor validation gap.

4 / 5

Progressive Disclosure

Well-organized single-purpose skill with clear section headers and no need for external bundle files; the structure is easy to navigate as a self-contained overview.

5 / 5

Total

19

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

An exemplary description: third-person, concrete, with both a clear capability statement and an exhaustive 'Use when' clause covering named, loose, relative, and status-filtered references. It is highly distinctive and unlikely to trigger for the wrong skill.

DimensionReasoningScore

Specificity

Names multiple concrete actions — resolving natural-language references to concrete experiment IDs, browsing `experiment-list`, and disambiguating when multiple experiments match — with comprehensive coverage for the domain.

5 / 5

Completeness

Clearly answers both 'what' (resolves a PostHog experiment reference from natural language to a concrete experiment ID) and 'when' via an explicit 'Use when...' clause with concrete trigger phrases.

5 / 5

Trigger Term Quality

Comprehensive coverage of natural terms users would say, including quoted examples ("split test demo", "the signup experiment", "the one with the new checkout", "latest", "most recent") and status synonyms (running, draft, paused, exposure frozen, stopped, archived).

5 / 5

Distinctiveness Conflict Risk

Clear niche — experiment reference resolution via `experiment-list` — and explicitly distinguishes from feature-flag tools, giving it minimal conflict risk with other skills.

5 / 5

Total

20

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
PostHog/posthog
Reviewed

Table of Contents

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