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Run the scored pre-publish gate via eval-runner.py: claims, brand voice, compliance, AI tells. "check this before we publish"

indranilbanerjee/digital-marketing-pro Claude Code author: indranilbanerjee 1 file body ≈ 4 632 tokens Open the sourcegithub.com↗ analyzed 29 h ago

Run the scored pre-publish gate via eval-runner.py: claims, brand voice, compliance, AI tells. "check this before we publish"

As a process D 44/100 · Unfinished process — References files that are not bundled: scripts/eval-runner.py, scripts/hallucination-detector.py, scripts/claim-verifier.py

AnalyzerMarketingSecuritytype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
95
Quality 40%
75
Run on models
none yet
Process rating
D
44/100
Unfinished process
References files that are not bundled: scripts/eval-runner.py, scripts/hallucination-detector.py, scripts/claim-verifier.py
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Read Bash Glob Grep

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

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/eval-runner.py
  • warning missing-ref reference to a missing file: scripts/hallucination-detector.py
  • warning missing-ref reference to a missing file: scripts/claim-verifier.py
  • warning missing-ref reference to a missing file: scripts/brand-voice-scorer.py
  • warning missing-ref reference to a missing file: scripts/output-validator.py
  • warning missing-ref reference to a missing file: scripts/content-scorer.py
  • warning missing-ref reference to a missing file: scripts/readability-analyzer.py
  • warning missing-ref reference to a missing file: scripts/embed-c2pa.py
  • note edit-residue the text marks something as outdated (lines 297): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 44/100

Will not run. References files that are not bundled: scripts/eval-runner.py, scripts/hallucination-detector.py, scripts/claim-verifier.py
  • 0Tools and files. 8 referenced file(s) missing: scripts/eval-runner.py, scripts/hallucination-detector.py, scripts/claim-verifier.py
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 16 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70Failures and branches. 4 branches
  • 70Execution cost. Instruction body is 4632 tokens
  • 85Steps. 35 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 14 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (14 tags): a typed call is more reliable

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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +3Description length 125: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 35 items
  • +3Output format is stated explicitly
  • +4Has examples (14 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.