SKILLEMALL.ai

BC clawlite-doc-sync

中文:发布后文档同步技能,自动对齐 README/ARCHITECTURE/CONTRIBUTING/CLAUDE.md 与实际变更,清理 TODO,优化 Changelog 语气,并可同步完成版本更新,提升交付一致性。 日本語:リリース後のドキュメントを同期するスキル。README/ARCHITECTURE/CONTRIBUTING/CLAUDE.mdを実装差分に合わせて更新し、TODOを整理・削除、CHANGELOGの語調を最適化し、必要ならバージョン更新も実施。 한국어:릴리스 후 문서를 동기화하는 에이전트. README/ARCHITECTURE/CONTRIBUTING/CLAUDE.md를 변경사항과 일치시키고 TODO를 정리, CHANGELOG 톤을 개선하며 필요 시 버전 업데이트까지 수행. Español:Sincroniza documentación post-lanzamiento: alinea README, ARCHITECTURE, CONTRIBUTING y CLAUDE.md con el diff real, limpia TODOs, mejora el tono del changelog y opcionalmente actualiza la versión.

ClawHub Agent Skills author: X-RayLuan v1.0.0 MIT-0 2 files body ≈ 1 199 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceWriting and documentsPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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")

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 83 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1199 tokens
  • 100Running it twice. No mutating operations
  • low 10 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
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 569: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 83 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This is a documentation-sync skill that edits Markdown docs and creates a scoped docs commit, which is disclosed and aligned with its purpose.
LLM: benign (high) · VirusTotal: · 29 May 2026