performance-analyzer

Use when the user asks to "analyze influencer campaign performance", "compare influencers", or "find what content worked"; produces metric scorecards vs target and benchmark, platform/influencer/content rankings, engagement-quality and sentiment reads, conversion-attribution breakdowns, and ranked learnings. Not for dollar-level return math — use roi-calculator. 达人营销效果分析/投放复盘

Quality

92%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

85%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.

A well-structured, actionable multi-step skill body with clear sequencing, validation checkpoints, and disciplined reference splitting. Its only weakness is modest verbosity in the cross-discipline and data-source framing.

Suggestions

Tighten the 'Cross-discipline (paid-ads)' note and the '~~' placeholder explanation to a sentence each, or move them into CONNECTORS.md / a paid-ads section to reclaim context budget.

Consider collapsing the YouTube 'Measured' paragraph into a one-line connector call with a link to the README rather than explaining display-rounding caveats inline.

Dimension	Reasoning	Score
Conciseness	Mostly efficient and free of basic-concept padding, but the cross-discipline paid-ads parenthetical, the '~~' placeholder system explanation, and the YouTube connector paragraph add prose that could be tightened without losing the actionable core.	2 / 3
Actionability	Concrete per-step instruction lists (e.g. 'score reach, impressions, engagements, ER, video views, clicks, promo uses, conversions, and revenue against target and benchmark'), an executable connector command, and an abridged worked example give copy-ready guidance.	3 / 3
Workflow Clarity	Eight numbered steps are sequenced in order, capped by an explicit 'Done when' checklist and a significance-bar validation checkpoint ('Before naming any creator/format/platform a real winner, clear the significance bar ... otherwise mark it Keep-testing'), matching the top anchor.	3 / 3
Progressive Disclosure	The body is an overview with well-signaled, one-level-deep references (templates in references/analysis-templates.md, verified present) and clearly labeled link text, with detail appropriately split out rather than inlined.	3 / 3
	Total	11 / 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.

A strong, third-person description with explicit trigger phrasing, a comprehensive list of concrete outputs, and deliberate disambiguation from a sibling skill. It earns the top anchor on every dimension.

Dimension	Reasoning	Score
Specificity	Lists multiple specific concrete actions — 'metric scorecards vs target and benchmark, platform/influencer/content rankings, engagement-quality and sentiment reads, conversion-attribution breakdowns, and ranked learnings' — matching the top anchor rather than the vague domain-only level 2.	3 / 3
Completeness	Explicitly answers both what (the produced outputs) and when via a 'Use when the user asks to...' clause, satisfying the top anchor; not level 2 because the when is explicit, not implied.	3 / 3
Trigger Term Quality	Natural user phrasings are quoted directly ('analyze influencer campaign performance', 'compare influencers', 'find what content worked'), giving good coverage of terms a user would actually say rather than jargon.	3 / 3
Distinctiveness Conflict Risk	Clear niche with distinct triggers plus active disambiguation ('Not for dollar-level return math — use roi-calculator'), making overlap with sibling skills unlikely.	3 / 3
	Total	12 / 12 Passed

Validation

75%

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 — 12 / 16 Passed

Validation for skill structure

Criteria	Description	Result
metadata_field	'metadata' should map string keys to string values	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning
relative_links	Relative link issues: 22 suspicious	Warning
referenced_paths_exist	Referenced path issues: 2 missing, 1 deeper-than-1-level	Warning

	Total	12 / 16 Passed

Repository: aaron-he-zhu/aaron-marketing-skills
Path: influencer/report/performance-analyzer/SKILL.md
Commit: 4a77c48

Reviewed: 9 days ago

Table of Contents

Discovery Implementation Validation

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