SKILLEMALL.ai

AD skill-updater

用于检查或更新通过 git 工作树、或通过 .skill-lock.json 这类锁文件方式安装的本地 skills。适用于用户提到“查 skill 更新”“更新 skill”“检查 skills”“同步 skills”“GitHub skill 更新”“OpenClaw skills 更新”“全局 skills 状态”“只看风险项”“输出 JSON”这类需求。

ClawHub Agent Skills author: vicwang v1.0.1 MIT-0 6 files body ≈ 219 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceGitHubSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
D
49/100
Unfinished process
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: 5. 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 49/100

  • 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
  • 40Consistency. Frontmatter name (skill-updater) differs from the folder (cross-platform-skill-updater)
  • 100Tools and files. No external tools needed
  • 100Steps. 19 steps
  • 100Execution cost. Instruction body is 219 tokens
  • 100Running it twice. No mutating operations

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 8 example trigger phrases
  • +3Description length 182: enough signal without eating the budget
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 19 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: suspicious
This looks like a legitimate skill updater, but it can broadly change installed agent skills and replace local skill folders without enough user-controlled scoping.
LLM: suspicious (high) · VirusTotal: · 29 May 2026