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CD structured-pr-review

Layered PR code review with severity tiers (MUST FIX/SHOULD FIX/SUGGESTION) and addressing-mode. Default: gh CLI only; optional Lobster pipeline.

ClawHub Agent Skills author: Grace Gettert v0.1.1 MIT-0 13 files · 6 scripts body ≈ 1 148 tokens Open the sourceclawhub.ai↗ analyzed 10 d ago

Layered PR code review with severity tiers (MUST FIX/SHOULD FIX/SUGGESTION) and addressing-mode.

As a process D 38/100 · Unfinished process — References files that are not bundled: scripts/pr-review-workflow.lobster

AnalyzerTerraformInfrastructureSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
D
38/100
Unfinished process
References files that are not bundled: scripts/pr-review-workflow.lobster
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. 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 · 0

✓ No critical or high findings

Files scanned: 13. 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/pr-review-workflow.lobster

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: scripts/pr-review-workflow.lobster
  • 0Tools and files. 1 referenced file(s) missing: scripts/pr-review-workflow.lobster
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 37 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1148 tokens

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 145: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 37 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)
  • +3All 6 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
This PR review skill is not overtly malicious, but it can use an authenticated GitHub session to post replies, resolve threads, update PRs, and push commits without enough guardrails.
LLM: suspicious (high) · VirusTotal: · 16 Sept 2026