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AC propel-code-review

Run async diff-based code reviews using the Propel Review API, poll for completion, retrieve structured findings, and send comment feedback. Use when reviewing the current branch diff or any Git diff with Propel.

ClawHub Agent Skills author: Jason (Yue) Zhang v0.0.1 MIT-0 6 files · 4 scripts body ≈ 2 634 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 57/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware 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
A
93/100
safety, quality, tests
Safety 60%
97
Quality 40%
87
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
When it triggers w 12
20
Inputs and preconditions w 11
30
the three weakest of ten parameters · all ten

How to improve

    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
    • low Exfiltration net-credential-use scripts/create_review.sh:130
      Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
      printf 'header = "Authorization: Bearer %s"\n' "$PROPEL_API_KEY" >"$CURL_CONFIG_FILE"
      quoted
    • low Exfiltration net-credential-use scripts/poll_review.sh:154
      Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
      printf 'header = "Authorization: Bearer %s"\n' "$PROPEL_API_KEY" >"$CURL_CONFIG_FILE"
      quoted
    • low Exfiltration net-credential-use scripts/post_comment_feedback.sh:120
      Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
      printf 'header = "Authorization: Bearer %s"\n' "$PROPEL_API_KEY" >"$CURL_CONFIG_FILE"
      quoted

    Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 57/100

    • 0Result and completion. Does not say what the result is
    • 20When it triggers. No condition that starts the skill
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 40Consistency. Frontmatter name (propel-code-review) differs from the folder (propel-code-review-smoke-1773429953)
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 100Steps. 56 steps
    • 100Failures and branches. 4 branches, has a failure section
    • 100Execution cost. Instruction body is 2634 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • low 14 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)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 212: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 56 items
    • +4Has examples (13 code blocks)
    • +3All 4 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: suspicious
    The skill is a real Propel code-review integration, but it gives the agent enough authority to persist an API token, upload diffs, edit code, and post feedback without clear per-run confirmation.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026