SKILLEMALL.ai

AF 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

ClawHub Hermes author: Aaron Zhu v19.0.0 MIT-0 4 files body ≈ 2 238 tokens Open the sourceclawhub.ai analyzed 2 d ago

produces metric scorecards vs target and benchmark, platform/influencer/content rankings, engagement-quality and sentiment reads, conversion-attribution…

As a process F 52/100 · Will not run — References files that are not bundled: ../../../ad/orchestrate/ad-test-designer/SKILL.md, ../../../ad/scale/paid-measurement-loop/SKILL.md, ../../../protocol/creator-registry/SKILL.md

AnalyzerYouTubeMarketingData and analyticsWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
F
52/100
Will not run
References files that are not bundled: ../../../ad/orchestrate/ad-test-designer/SKILL.md, ../../../ad/scale/paid-measurement-loop/SKILL.md, ../../../protocol/creator-registry/SKILL.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 378 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning missing-ref reference to a missing file: ../../../ad/orchestrate/ad-test-designer/SKILL.md
  • warning missing-ref reference to a missing file: ../../../ad/scale/paid-measurement-loop/SKILL.md
  • warning missing-ref reference to a missing file: ../../../protocol/creator-registry/SKILL.md
  • warning missing-ref reference to a missing file: ../roi-calculator/SKILL.md
  • warning missing-ref reference to a missing file: ../../../references/skill-contract.md
  • warning missing-ref reference to a missing file: ../../../scripts/connectors/README.md
  • warning missing-ref reference to a missing file: ../../../CONNECTORS.md
  • warning missing-ref reference to a missing file: ../../../references/measurement-protocol.md
  • warning missing-ref reference to a missing file: ../../../references/star-benchmark.md
  • warning missing-ref reference to a missing file: ../../../references/state-model.md
  • warning missing-ref reference to a missing file: ../report-generator/SKILL.md
  • warning missing-ref reference to a missing file: ../../scout/fit-scorer/SKILL.md
  • warning missing-ref reference to a missing file: ../../target/campaign-planner/SKILL.md
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: ../../../ad/orchestrate/ad-test-designer/SKILL.md, ../../../ad/scale/paid-measurement-loop/SKILL.md, ../../../protocol/creator-registry/SKILL.md
  • 0Tools and files. 13 referenced file(s) missing: ../../../ad/orchestrate/ad-test-designer/SKILL.md, ../../../ad/scale/paid-measurement-loop/SKILL.md, ../../../protocol/creator-registry/SKILL.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 2 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 55Failures and branches. 1 branches
  • 60Consistency. The Hermes dialect needs category and tags
  • 100Steps. 29 steps
  • 100When it triggers. States when to use and when not to
  • 100Execution cost. Instruction body is 2238 tokens
  • 100Progress reporting. Reports progress

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +4Description says when NOT to use the skill
  • +3Description length 378: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This skill analyzes influencer campaign performance using user-provided marketing metrics, with only minor handling cautions for API keys and business data.
LLM: benign (high) · VirusTotal: · 24 Jul 2026