SKILLEMALL.ai

BF clawddocs

(no description)

ClawHub Hermes author: 天轰穿 v1.0.0 MIT-0 2 files body ≈ 1 520 tokens Open the sourceclawhub.ai analyzed 2 d ago

"When a user asks about SkillHub, first identify what they need:" 1.

As a process F 23/100 · Will not run — References files that are not bundled: assets/clawddocs_template

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
57
Run on models
none yet
Process rating
F
23/100
Will not run
References files that are not bundled: assets/clawddocs_template
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
0
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Missing , or : between flow sequence items at line 11, column 17: description: [''知识管理领域的专业化AI辅助工具'']。"SkillHub文档专家,带决策树导航,快速定位答案。SkillHub docume… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-long-hermes description is 204 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning missing-ref reference to a missing file: assets/clawddocs_template
  • 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 "summary_zh"
  • note frontmatter-key unknown frontmatter key "tools"
  • note frontmatter-key unknown frontmatter key "pricing_tier"

Process rating: all ten parameters 23/100

Will not run. References files that are not bundled: assets/clawddocs_template
  • 0Tools and files. 1 referenced file(s) missing: assets/clawddocs_template
  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (clawddocs) differs from the folder (docs-toolkit)
  • 85Steps. 32 steps, 2 vague phrases
  • 100Execution cost. Instruction body is 1520 tokens
  • low 13 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)
  • +3Description length 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 32 items
  • +4Has examples (3 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.

External checks

ClawHub: suspicious
This skill is mostly a documentation helper, but it asks for command/write capability and includes an unclear script-running instruction that is not well scoped or explained.
LLM: suspicious (high) · 25 Aug 2026