SKILLEMALL.ai
GitHub ↗ RU Sign in

BF git-sync

全平台统一发布工具。支持 skills 和 agents 的 Gitee/GitHub/ClawHub/SkillHub/PyPI 同步与 Release 创建，LLM 驱动的文件过滤与脱敏。

ClawHub Agent Skills author: Lighthexuish v2.45.8 MIT-0 36 files · 1 script body ≈ 2 008 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 38/100 · Will not run — References files that are not bundled: references/*.md

ProcedureGitHubAI and agentsSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: references/*.md
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: 36. 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: references/*.md
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "sensitive_access"
  • note frontmatter-key unknown frontmatter key "critical_write"
  • note frontmatter-key unknown frontmatter key "permission_weight"
  • note frontmatter-key unknown frontmatter key "data_dir"
  • note frontmatter-key unknown frontmatter key "external_data_dir"
  • note frontmatter-key unknown frontmatter key "trigger"
  • note frontmatter-key unknown frontmatter key "trigger_negative"
  • note frontmatter-key unknown frontmatter key "h1_version"
  • note frontmatter-key unknown frontmatter key "meta_field_sync"
  • note frontmatter-key unknown frontmatter key "create_permissions_md"
  • note frontmatter-key unknown frontmatter key "h1_position"
  • note frontmatter-key unknown frontmatter key "data_dir_compliance"

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: references/*.md
  • 0Tools and files. 1 referenced file(s) missing: references/*.md
  • 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
  • 30Running it twice. 9 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 44 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2008 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 96: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -212 emoji in the instructions: noise for the model
  • -321 of 24 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 44 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (8 of 8)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: suspicious
This publishing skill does what it advertises, but it also changes Git credential handling and uses stored tokens in ways that deserve careful review before installation.
LLM: suspicious (high) · 26 Aug 2026