mixpanel-headless-setup

This skill installs mixpanel_headless, pandas, numpy, matplotlib, seaborn, networkx, anytree, scipy (and pyarrow on Python 3.11+), then verifies Mixpanel credentials. It should be invoked when setting up a new environment for Mixpanel data analysis, when dependencies are missing, or when configuring service account or OAuth credentials for the first time.

Quality

88%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

77%Weight 40%Scale 1-3

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

The body is highly actionable with a well-sequenced, validated setup workflow, but it is verbose for a setup skill and keeps credential-path and remote-environment detail inline rather than externalizing it to reference files. It is not a 1 on any axis because the guidance is concrete and the structure is sound.

Suggestions

Externalize the credential-configuration methods (mp login, guided setup, service-account env vars, OAuth bearer) and remote-environment handling into a references/credentials.md file, keeping only the recommended path inline with a pointer to the rest.

Trim editorial phrasing like 'The frictionless one-shot path' and consolidate the repeated env-var export blocks to reduce token count.

Add a short 'Quick path' summary near the top so the common case (mp login) is reachable without scanning the full credential-method menu.

Dimension	Reasoning	Score
Conciseness	The ~175-line body is dense and operational rather than padded with concept explanations, but it is lengthy for a setup skill and the full menu of credential methods plus remote-environment handling could be tightened or externalized. It earns above a 1 because there is little conceptual filler, but not a 3 because not every token earns its place.	2 / 3
Actionability	It provides fully executable, copy-paste-ready commands — 'bash $SKILL_DIR/scripts/setup.sh', 'mp login', concrete env-var exports, 'mp account export-bridge --to ...', and 'python3 .../auth_manager.py account test' — plus specific JSON field parsing instructions.	3 / 3
Workflow Clarity	The process is clearly sequenced (Run Setup → Check Credentials → branch on missing creds → Remote Environment handling → Verify Everything Works) with explicit validation checkpoints: package import verification, parsing the credentials 'state' field with error-recovery branching, and a final 'result.ok' check.	3 / 3
Progressive Disclosure	Sections are well-organized and the real 'scripts/setup.sh' bundle is properly externalized and one-level-deep, but the bulk of credential-method and remote-environment detail lives inline (~175 lines) that could be split into a reference file; the only markdown references point to an external sibling skill rather than this skill's own bundle.	2 / 3
	Total	10 / 12 Passed

Description

100%Weight 40%Scale 1-3

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

The description is strong: it states concrete actions, gives explicit invocation triggers answering both 'what' and 'when', and occupies a clear Mixpanel-specific niche. It uses third-person voice and avoids vague fluff.

Dimension	Reasoning	Score
Specificity	The description lists multiple concrete actions — 'installs mixpanel_headless, pandas, numpy, matplotlib, seaborn, networkx, anytree, scipy (and pyarrow on Python 3.11+), then verifies Mixpanel credentials' — naming exact packages and a verification step rather than vague language.	3 / 3
Completeness	It explicitly answers both what it does (install packages, verify credentials) and when to use it via 'It should be invoked when setting up a new environment... when dependencies are missing, or when configuring... credentials for the first time.'	3 / 3
Trigger Term Quality	It surfaces natural trigger phrases a user would say — 'setting up a new environment for Mixpanel data analysis, when dependencies are missing, or when configuring service account or OAuth credentials' — covering setup, missing-dependency, and credential scenarios.	3 / 3
Distinctiveness Conflict Risk	It targets a clear Mixpanel-specific niche (mixpanel_headless setup and credential verification) with distinct triggers, making overlap with unrelated skills unlikely.	3 / 3
	Total	12 / 12 Passed

Validation

93%

Warnings & errors only

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

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
relative_links	Relative link issues: 2 suspicious	Warning

	Total	15 / 16 Passed

Repository: openai/plugins
Path: plugins/mixpanel-headless/skills/setup/SKILL.md
Commit: 11c74d6

Reviewed: 17 days ago

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