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BC codex-cli-task

Launch OpenAI Codex CLI async in background with automatic delivery to Telegram/WhatsApp. Use for coding, refactoring, codebase research, file generation, and complex multi-step automations. NOT for quick one-off questions or real-time interactive tasks. Includes strict thread-safe routing + E2E operator validation workflow.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 9 files · 1 script body ≈ 6 844 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Launch OpenAI Codex CLI async in background with automatic delivery to Telegram/WhatsApp.

As a process C 53/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

IntegrationTelegramWhatsAppSoftware 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
B
88/100
safety, quality, tests
Safety 60%
96
Quality 40%
77
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Consistency w 8
40
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: openclaw-master-skills

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Dangerous commands cmd-cron-mention README.md:515
    Mentions editing / listing crontab
    # Add at the top of crontab (crontab -e):
  • low Dangerous commands cmd-background-process README.md:526
    Starts a background / autostarted process
    nohup python3 run-task.py ... > /tmp/codex-run.log 2>&1 &
  • low Exfiltration exfil-webhook-url run-task.py:368
    Webhook / callback URL commonly used for exfiltration (verify the destination) (the skill's own vendor host; quoted — discussed, not commanded)
    f"https://api.telegram.org/bot{bot_token}/sendMessage",
    vendor-hostquoted
  • low Exfiltration exfil-webhook-url run-task.py:1053
    Webhook / callback URL commonly used for exfiltration (verify the destination) (the skill's own vendor host; quoted — discussed, not commanded)
    f"'https://api.telegram.org/bot{bot_token_for_script}/sendMessage', "
    vendor-hostquoted

Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6844 tokens (recommended < 5000); move details to references/
  • note edit-residue the text marks something as outdated (lines 183): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 40Consistency. Frontmatter name (codex-cli-task) differs from the folder (codex-code-task)
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
  • 70Execution cost. Instruction body is 6844 tokens
  • 85Steps. 181 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 19 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (4 tags): a typed call is more reliable

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
  • -248 emoji in the instructions: noise for the model
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 326: enough signal without eating the budget
  • +4Structure: 58 headings
  • +3Step-by-step instructions: 181 items
  • +4Has examples (20 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.