SKILLEMALL.ai

CD workbuddy-skill-visibility

让 WorkBuddy 内置技能出现在「已安装技能」列表里,并支持一键完整复原;也用于核对副本与内置原件是否一致。触发词:内置技能看不见、内置技能不见了、技能列表为空、显示内置技能、恢复内置技能、skill_visibility、技能列表缺技能。

ClawHub Claude Code author: 波动几何 v1.0.1 MIT-0 3 files · 1 script body ≈ 828 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

让 WorkBuddy 内置技能出现在「已安装技能」列表里,并支持一键完整复原;也用于核对副本与内置原件是否一致。触发词:内置技能看不见、内置技能不见了、技能列表为空、显示内置技能、恢复内置技能、skillvisibility、技能列表缺技能。

As a process D 35/100 · Unfinished process — References files that are not bundled: scripts/skill_visibility_manifest.json

ProcedurePersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
C
83/100
safety, quality, tests
Safety 60%
95
Quality 40%
66
Run on models
none yet
Process rating
D
35/100
Unfinished process
References files that are not bundled: scripts/skill_visibility_manifest.json
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Read Write Edit Glob Grep Bash PowerShell

Files scanned: 3. 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/skill_visibility_manifest.json
  • note frontmatter-key unknown frontmatter key "display_name"
  • note frontmatter-key unknown frontmatter key "display_name_en"
  • note frontmatter-key unknown frontmatter key "description_zh"
  • note frontmatter-key unknown frontmatter key "description_en"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/skill_visibility_manifest.json
  • 0Tools and files. 1 referenced file(s) missing: scripts/skill_visibility_manifest.json
  • 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
  • 100Steps. 29 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 828 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

  • +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
  • +1No license
  • +2Single-language instructions
  • +3Description length 123: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (1 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
The skill makes disclosed WorkBuddy visibility/restoration changes and includes higher-impact options, but they are scoped, documented, and user-directed.
LLM: benign (high) · VirusTotal: · 11 Oct 2026