SKILLEMALL.ai

BF baoyu-md-formatter

格式化纯文本与Markdown,补frontmatter/标题/摘要/列表。Formats plain text or markdown files with frontmatter, titles, summaries,。触发关键词: files, format, text, baoyu, plain, formats, markdown。 功能涵盖: formatter。

ClawHub Agent Skills author: 天轰穿 v1.0.1 MIT-0 2 files body ≈ 3 802 tokens Open the sourceclawhub.ai analyzed 2 d ago

格式化纯文本与Markdown,补frontmatter/标题/摘要/列表。Formats plain text or markdown files with frontmatter, titles, summaries,。触发关键词: files, format, text, baoyu, plain…

As a process F 45/100 · Will not run — References files that are not bundled: scripts/main.ts, scripts/quotes.ts, scripts/autocorrect.ts

ProcedureWriting and documentsData and analyticsDesigntype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
58
Run on models
none yet
Process rating
F
45/100
Will not run
References files that are not bundled: scripts/main.ts, scripts/quotes.ts, scripts/autocorrect.ts
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 · 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 description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: scripts/main.ts
  • warning missing-ref reference to a missing file: scripts/quotes.ts
  • warning missing-ref reference to a missing file: scripts/autocorrect.ts
  • warning missing-ref reference to a missing file: references/title-formulas.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 "tools"

Process rating: all ten parameters 45/100

Will not run. References files that are not bundled: scripts/main.ts, scripts/quotes.ts, scripts/autocorrect.ts
  • 0Tools and files. 4 referenced file(s) missing: scripts/main.ts, scripts/quotes.ts, scripts/autocorrect.ts
  • 0Result and completion. Does not say what the result is
  • 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
  • 100Steps. 81 steps
  • 100Failures and branches. 4 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3802 tokens
  • 100Running it twice. Mutating operations check current state
  • low 16 top-level sections: this looks like several domains in one skill

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
  • +2Single-language instructions
  • +3Description length 189: enough signal without eating the budget
  • +4Structure: 38 headings
  • +3Step-by-step instructions: 81 items
  • +4Has examples (8 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.

External checks

ClawHub: clean
This is a Markdown/text formatting skill that discloses local file editing and generated metadata, with no evidence of hidden data theft or destructive behavior.
LLM: benign (high) · VirusTotal: · 10 Aug 2026