SKILLEMALL.ai

BF wechat-tutorial-editor-publisher

模仿作者写作风格,完成教程类微信公众号文章编写,输出 Markdown 文件,一键发布到微信公众号草稿箱。

ClawHub Agent Skills author: Harrison Carran v1.0.0 MIT-0 15 files · 2 scripts body ≈ 1 377 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: images/photo.jpg, /Users/bruce/photo.jpg

ProcedureLearningInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
77/100
safety, quality, tests
Safety 60%
95
Quality 40%
51
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: images/photo.jpg, /Users/bruce/photo.jpg
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:36
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…B4t+D+OBkj…bcE+mWTyvVV7D/zsdE…1Rw==",
    detector
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:50
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…dTg+QahU…hsw==",
    detector
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:56
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…FFX/+gVeY…NlM++NqRc…bqg==",
    detector
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:122
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…XgO/OSZV…lro+7Hf6…5Fj+EDe8gO/lxc1…xvA==",
    detector
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:190
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…EPE+Ei8nl6/g4FB…DDo/DWp0…2Pw==",
    detector

Files scanned: 15. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: images/photo.jpg
  • warning missing-ref reference to a missing file: /Users/bruce/photo.jpg

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: images/photo.jpg, /Users/bruce/photo.jpg
  • 0Tools and files. 2 referenced file(s) missing: images/photo.jpg, /Users/bruce/photo.jpg
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 100Steps. 54 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1377 tokens

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)
  • +3Description length 53: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -2localhost URLs: will not work for another user
  • -217 emoji in the instructions: noise for the model
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 54 items
  • +4Has examples (20 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 51.

External checks

ClawHub: suspicious
The skill mostly matches its WeChat article publishing purpose, but it needs review because it stores and reads WeChat publishing credentials and personal profile data in unsafe, under-scoped ways.
LLM: suspicious (high) · VirusTotal: · 29 May 2026