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BD codex-agent-enhanced

作为项目经理操作 OpenAI Codex CLI 完全体。包含：知识库维护（自动跟踪 Codex 最新功能）、任务执行（提示词设计→执行→监控→质量检查→迭代→汇报）、配置管理（feature flags/模型/skills/MCP）。通过 tmux 操作交互式 TUI，通过 notify hooks + pane monitor 实现异步唤醒。NOT for: 简单单行编辑（用 edit）、读文件（用 read）、快速问答（直接回答）。

ClawHub Agent Skills author: geq1fan v1.0.0-enhanced 25 files · 1 script body ≈ 2 447 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process D 47/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

IntegrationSoftware developmentAI and agentstype 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
80/100
safety, quality, tests
Safety 60%
88
Quality 40%
69
Run on models
none yet
Process rating
D
47/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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 · 12

✓ No critical or high findings

Medium and low: 12
  • low Exfiltration read-dotenv docs/CONFIG_TEMPLATE.md:220
    Reads a .env file
    source .env  # 加载项目 A 的配置
  • low Exfiltration read-dotenv docs/CONFIG_TEMPLATE.md:225
    Reads a .env file
    source .env  # 加载项目 B 的配置
  • low Exfiltration read-dotenv docs/CONFIG_TEMPLATE.md:245
    Reads a .env file (detector / deny-list definition)
    - `source .env` 在 `codex exec` 前执行
    detector
  • low Exfiltration read-dotenv docs/ENHANCEMENTS.md:36
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv docs/ENHANCEMENTS.md:42
    Reads a .env file
    source .env
  • low Exfiltration read-dotenv docs/ENHANCEMENTS.md:98
    Reads a .env file
    source .env
  • low Exfiltration read-dotenv docs/ENHANCEMENTS.md:114
    Reads a .env file
    source .env
  • low Exfiltration read-dotenv docs/ENHANCEMENTS.md:157
    Reads a .env file
    cat .env  # 检查配置是否正确
  • low Exfiltration read-dotenv README.md:268
    Reads a .env file (detector / deny-list definition)
    3. 执行 `source .env`
    detector
  • low Exfiltration read-dotenv SKILL.md:98
    Reads a .env file
    source .env
  • low Exfiltration read-dotenv SKILL.md:127
    Reads a .env file
    cd /path/to/project-a && source .env && codex exec ...
  • low Exfiltration read-dotenv SKILL.md:130
    Reads a .env file
    cd /path/to/project-b && source .env && codex exec ...

Files scanned: 25. 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")

Process rating: all ten parameters 47/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 5 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, git) that frontmatter does not declare
  • 100Steps. 68 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2447 tokens
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (6 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
  • -43 reference files, but SKILL.md never points to them: the model will not open them
  • -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 222: enough signal without eating the budget
  • +4Structure: 39 headings
  • +3Step-by-step instructions: 68 items
  • +4Has examples (22 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This skill is a disclosed Codex automation tool, but it can persistently run hooks and send Codex outputs to Telegram, with risky default routing values.
LLM: suspicious (high) · VirusTotal: · 29 May 2026