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Toolkit management: create and evaluate skills and agents, manage routing tables, generate Claude.md.

notque/vexjoy-agent Agent Skills author: notque MIT 79 files · 17 scripts body ≈ 2 785 tokens Open the sourcegithub.com↗ analyzed 24 h ago

Toolkit management: create and evaluate skills and agents, manage routing tables, generate Claude.md.

As a process F 30/100 · Will not run — References files that are not bundled: references/skill-creator/{skill-template,progressive-disclosure,complexity-tiers,error-catalog,enrichment-workflow}.md, references/agent-creator/{agent-design-patterns,agent-frontmatter-template,agent-eval-design}.md, references/agent-comparison/{methodology,grading-rubric,benchmark-tasks,report-template,optimize-phase}.md

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
C
79/100
safety, quality, tests
Safety 60%
94
Quality 40%
56
Run on models
none yet
Process rating
F
30/100
Will not run
References files that are not bundled: references/skill-creator/{skill-template,progressive-disclosure,complexity-tiers,error-catalog,enrichment-workflow}.md, references/agent-creator/{agent-design-patterns,agent-frontmatter-template,agent-eval-design}.md, references/agent-comparison/{methodology,grading-rubric,benchmark-tasks,report-template,optimize-phase}.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

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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Read Write Edit Bash Glob Grep Agent Task Skill
  • low Secrets in code secret-password-literal references/skill-creator/error-catalog.md:424
    Hard-coded password / key literal (may be an example) (placeholder value)
    api_key = "sk-1…def"
    placeholder

Files scanned: 79. 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/skill-creator/{skill-template,progressive-disclosure,complexity-tiers,error-catalog,enrichment-workflow}.md
  • warning missing-ref reference to a missing file: references/agent-creator/{agent-design-patterns,agent-frontmatter-template,agent-eval-design}.md
  • warning missing-ref reference to a missing file: references/agent-comparison/{methodology,grading-rubric,benchmark-tasks,report-template,optimize-phase}.md
  • warning missing-ref reference to a missing file: references/agent-evaluation/{scoring-rubric,report-templates,batch-evaluation}.md
  • warning missing-ref reference to a missing file: references/skill-composer/{compatibility-matrix,composition-patterns,skill-patterns,examples}.md
  • warning missing-ref reference to a missing file: references/routing-table-updater/{routing-format,extraction-patterns,conflict-resolution,examples}.md
  • warning missing-ref reference to a missing file: references/toolkit-evolution/{diagnose-scripts,evolution-history,evolve-preferred-patterns}.md
  • warning missing-ref reference to a missing file: references/generate-claudemd/{CLAUDEMD_TEMPLATE,examples-and-errors}.md
  • warning missing-ref reference to a missing file: scripts/weak_model_run.py
  • note frontmatter-key unknown frontmatter key "routing"

Process rating: all ten parameters 30/100

Will not run. References files that are not bundled: references/skill-creator/{skill-template,progressive-disclosure,complexity-tiers,error-catalog,enrichment-workflow}.md, references/agent-creator/{agent-design-patterns,agent-frontmatter-template,agent-eval-design}.md, references/agent-comparison/{methodology,grading-rubric,benchmark-tasks,report-template,optimize-phase}.md
  • 0Tools and files. 9 referenced file(s) missing: references/skill-creator/{skill-template,progressive-disclosure,complexity-tiers,error-catalog,enrichment-workflow}.md, references/agent-creator/{agent-design-patterns,agent-frontmatter-template,agent-eval-design}.md, references/agent-comparison/{methodology,grading-rubric,benchmark-tasks,report-template,optimize-phase}.md
  • 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
  • 30Running it twice. 11 mutating operations with no state check
  • 85Steps. 48 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2785 tokens
  • low 12 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 101: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 48 items
  • +4Reference files are cited in the instructions (9 of 9)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.