SKILLEMALL.ai

BF blog-content-publish

Publish editorial and dynamic section content with blog-publish, enforce quality gates for hot/news/ai_news, and sync repository skills to ClawHub via clawhub sync --all.

ClawHub Agent Skills author: 郭立lee v1.0.8 2 files body ≈ 1 936 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 50/100 · Will not run — References files that are not bundled: {{url}}, {{evidence_url}}

ReferenceInfrastructureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
F
50/100
Will not run
References files that are not bundled: {{url}}, {{evidence_url}}
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

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 · 0

✓ No critical or high findings

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: {{url}}
  • warning missing-ref reference to a missing file: {{evidence_url}}

Process rating: all ten parameters 50/100

Will not run. References files that are not bundled: {{url}}, {{evidence_url}}
  • 0Tools and files. 2 referenced file(s) missing: {{url}}, {{evidence_url}}
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 52 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 111 steps
  • 100Failures and branches. 4 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1936 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (12 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)
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 170: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 111 items
  • +4Has examples (1 code blocks)

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

External checks

ClawHub: clean
This is a disclosed publishing workflow for misonote.com with expected authentication and public content changes, plus a disclosed ClawHub sync command that users should run deliberately.
LLM: benign (high) · VirusTotal: benign · 28 May 2026