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AF openclaw-cortexnet-autopilot

Deploy, diagnose, and operate an unattended GitHub-repo optimization loop for OpenClaw with multi-CLI failover, layered timeout controls, report-only audit gates, fallback report generation, and dev-branch auto commit/push. Use when users ask to set up, run, harden, troubleshoot, or scale OpenClaw automation for Codex CLI, Claude Code CLI, Gemini CLI, and optional Open Code CLI across any repository and custom requirement.

ClawHub Agent Skills author: A超级小可爱 v1.0.2 16 files · 1 script body ≈ 1 864 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 49/100 · Will not run — References files that are not bundled: assets/templates/.env.example

AnalyzerGitHubSoftware developmentData and analyticsInfrastructuretype 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
90/100
safety, quality, tests
Safety 60%
94
Quality 40%
85
Run on models
none yet
Process rating
F
49/100
Will not run
References files that are not bundled: assets/templates/.env.example
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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Exfiltration read-dotenv assets/templates/start_openclaw.sh:9
    Reads a .env file
    source .env
  • low Exfiltration read-dotenv README.md:107
    Reads a .env file (documentation of a security skill)
    source .env
    security skill
  • low Exfiltration read-dotenv scripts/deploy_autopilot.py:435
    Reads a .env file (quoted — discussed, not commanded)
    print("2) cp .env.example .env and set GITHUB_TOKEN")
    quoted
  • low Exfiltration read-dotenv scripts/deploy_autopilot.py:436
    Reads a .env file (detector / deny-list definition)
    print("3) Run once: source .env && python3 openclaw_autopilot.py --config openclaw_config.json --once")
    detector
  • low Exfiltration read-dotenv scripts/setup_autopilot.py:144
    Reads a .env file (detector / deny-list definition)
    print(f"[setup] next: cd {output_dir} && source .env && ./start_openclaw.sh")
    detector
  • low Exfiltration read-dotenv SKILL.md:97
    Reads a .env file (documentation of a security skill)
    source .env
    security skill

Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/templates/.env.example

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: assets/templates/.env.example
  • 0Tools and files. 1 referenced file(s) missing: assets/templates/.env.example
  • 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
  • 30Running it twice. 16 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 68 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1864 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 426: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 68 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 6 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

External checks

ClawHub: suspicious
The skill is transparent about running an autonomous repo bot, but it can reset local work, auto-approve prompts, store a GitHub write token, and push commits without strong user checkpoints.
LLM: suspicious (high) · 28 May 2026