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CA teams-setup

Creates and manages dynamic teams of domain agents. Triggers: create team, agent team, team status, cleanup team.

kochetkov-ma/claude-brewcode Claude Code author: kochetkov-ma 26 files · 16 scripts body ≈ 6 569 tokens Open the sourcegithub.com↗ analyzed 8 h ago

Creates and manages dynamic teams of domain agents.

As a process A 87/100 · Runs to the end — weak spots: when it triggers, progress reporting

GeneratorAI 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
82/100
safety, quality, tests
Safety 60%
93
Quality 40%
66
Run on models
none yet
Process rating
A
87/100
Runs to the end
Progress reporting w 2
0
When it triggers w 12
20
Execution cost w 6
70
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: teams-setup (kochetkov-ma/claude-brewcode)

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 SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 3

✓ No critical or high findings

Medium and low: 3
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Read Write Edit Glob Grep Bash Agent AskUserQuestion Skill
  • low Dangerous commands cmd-eval-dynamic scripts/prepare-tokenizer.py:921
    Dynamic code execution from decoded/untrusted input (detector / deny-list definition)
    exec(compile(sys.stdin.read(), '<stdin>', 'exec'), {'__name__': '__main__'})
    detector
  • low Dangerous commands cmd-eval-dynamic scripts/prepare-tokenizer.py:925
    Dynamic code execution from decoded/untrusted input (detector / deny-list definition)
    exec(compile(code, '<string>', 'exec'), {'__name__': '__main__'})
    detector

Files scanned: 19. 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 body-long SKILL.md body ≈ 6569 tokens (recommended < 5000); move details to references/
  • note edit-residue the text marks something as outdated (lines 82, 84, 85, 187, 203, 310): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 87/100

  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 70Execution cost. Instruction body is 6569 tokens
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 27 steps
  • 100Result and completion. Output format and completion criterion are stated
  • 100Inputs and preconditions. Inputs and preconditions are listed
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 14 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (21 tags): a typed call is more reliable

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 113: 120–800 characters recommended
  • -31 of 9 scripts are never mentioned in SKILL.md
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 27 items
  • +3Output format is stated explicitly
  • +4Has examples (14 code blocks)
  • +4Reference files are cited in the instructions (7 of 7)
  • +1License stated
  • +2Bilingual instructions (RU + EN)

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