Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/wjmiracle/projectflow-dag-mcp/auto-executenpx skills add wjmiracle/projectflow-dag-mcp --skill auto-executegit clone --depth 1 https://github.com/wjmiracle/projectflow-dag-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/wjmiracle/projectflow-dag-mcp/auto-execute)<a href="https://agentmods.dev/skills/wjmiracle/projectflow-dag-mcp/auto-execute"><img src="https://agentmods.dev/badge/skills/wjmiracle/projectflow-dag-mcp/auto-execute.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.00318 |
| Opus 5 | $0.00020 | $0.00159 |
| Sonnet 5 | $0.00008 | $0.00064 |
| Haiku 4.5 | $0.00004 | $0.00032 |
Grade A, and why
auto-execute scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
ProjectFlow 自动执行适配器
本 Skill 只负责触发和适配。ProjectFlow MCP 返回的执行协议是唯一权威来源。
- 首次执行时调用
projectflow/get_execution_protocol并严格遵守返回内容。 - 调用
load_project加载用户给出的绝对路径，再调用status。 - 用户已说“开始、全自动、继续、不要停”时直接进入自动模式；否则只确认一次。
- 自动执行使用
claim_task，不要用next_task后自行抢占。 - 真实执行任务并验证，通过后用
done_task写入摘要、产出路径和验证证据。 - 失败、人工阻塞、跳过和重做分别使用
fail_task、block_task、skip_task、reset_task。
不要直接编辑已加载的工程图 JSON，也不要在验证失败时标记完成。
如果 MCP 暂时不可用，停止执行并报告连接问题；不要退化成不受状态机保护的文件替换流程。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 24 lines · 41 tokens per session scan A 5deae882008d
auto-execute is a skill published in the GitHub repository wjmiracle/projectflow-dag-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 318 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
impact-audit
Blast radius of a change you have not made yet -- traces a symbol across federated repositories, splits impact per repo, and reports what must ship together.
onboard-repo
Index an unfamiliar codebase into the knowledge graph, then produce a first orientation map -- entry points, most-depended-upon modules, hotspots, test topology.
review-pr
Review a PR or branch diff using the knowledge graph for full structural context. Outputs a structured review with blast-radius analysis.
build-graph
Build or update the code review knowledge graph. Run this first to initialize, or let hooks keep it updated automatically.
python-patterns
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.
prompt-optimizer
Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only — never executes the task itself. TRIGGER when: user says "optimize prompt", "improve my prompt", "how to write a prompt for", "help me prompt", "rewrite…