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AA openclaw-rd-pipeline

Orchestrate OpenClaw end-to-end R&D delivery in Feishu from requirement intake to closure using PM, developer, reviewer, and tester subagents. Use when handling研发任务 that need structured requirement parsing, project-context enrichment from Feishu history/wiki, coding + PR flow, read-only review/testing gates, bug-loop rework, and final owner notification.

ClawHub Agent Skills author: yinlihudong v1.0.0 6 files body ≈ 1 424 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process A 85/100 · Runs to the end — weak spots: when it triggers, running it twice

ProcedureInfrastructureSoftware 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
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
94
Run on models
none yet
Process rating
A
85/100
Runs to the end
When it triggers w 12
20
Running it twice w 4
30
Failures and branches w 10
70
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 · 0

    ✓ No critical or high findings

    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 85/100

    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 10 mutating operations with no state check
    • 70Failures and branches. 9 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 71 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1424 tokens
    • 100Progress reporting. Reports progress

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 356: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 71 items
    • +3Output format is stated explicitly
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: suspicious
    This skill appears to automate Feishu and repository workflows, but it gives agents broad read and write authority without clear user confirmation boundaries.
    LLM: suspicious (medium) · VirusTotal: · 29 May 2026