SKILLEMALL.ai
GitHub ↗ RU Sign in

BD maintainer-orchestrator

Coordinate multiple maintainer issues, PRs, or repositories with bounded workers, serialized public actions, and clear owner decisions. Do not use for one issue or PR.

steipete/agent-scripts Agent Skills author: steipete MIT 3 files body ≈ 2 772 tokens Open the sourcegithub.com↗ analyzed 4 d ago

Coordinate multiple maintainer issues, PRs, or repositories with bounded workers, serialized public actions, and clear owner decisions.

As a process D 38/100 · Unfinished process — References files that are not bundled: scripts/pr

ProcedureSoftware developmentInfrastructureData and analyticstype 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
B
92/100
safety, quality, tests
Safety 60%
99
Quality 40%
82
Run on models
none yet
Process rating
D
38/100
Unfinished process
References files that are not bundled: scripts/pr
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. 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
  • low Risky intent intent-offensive-security references/non-majority-repositories.md:174
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - openclaw/openclaw-ansible — 4.1%. SECURITY issue #32 (docker-group privilege escalation) open.

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/pr

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: scripts/pr
  • 0Tools and files. 1 referenced file(s) missing: scripts/pr
  • 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
  • 30Running it twice. 11 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 100Steps. 74 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2772 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • 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
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 167: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 74 items
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.