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 skills add kanfu-panda/pdlc-skills --skill pdlc-statusgit clone --depth 1 https://github.com/kanfu-panda/pdlc-skillsWrote 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/kanfu-panda/pdlc-skills/pdlc-status)<a href="https://agentmods.dev/skills/kanfu-panda/pdlc-skills/pdlc-status"><img src="https://agentmods.dev/badge/skills/kanfu-panda/pdlc-skills/pdlc-status/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kanfu-panda/pdlc-skills/pdlc-status"><img src="https://agentmods.dev/badge/skills/kanfu-panda/pdlc-skills/pdlc-status.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00026 | $0.00817 |
| Opus 5 | $0.00013 | $0.00409 |
| Sonnet 5 | $0.00005 | $0.00163 |
| Haiku 4.5 | $0.00003 | $0.00082 |
Grade A, and why
pdlc-status 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 11d 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
项目 PDLC 状态总览
读取 docs/.pdlc-state/ 目录下所有状态机文件,输出项目当前的 PDLC 进度、阶段分布、待办建议。
执行流程
1. 扫描状态机
- 列出
docs/.pdlc-state/*.json所有文件 - 若无文件 → 输出:
📭 尚无 PDLC 追踪记录。运行 /pdlc-feature 或 /pdlc-fix 开始第一个功能。 - 否则进入下一步
2. 解析与分类
按 current_stage 字段分组:
- 🚧 进行中:
current_stage不在[feature_done, fix_done, null] - ✅ 已完成:
current_stage在[feature_done, fix_done] - ❓ 异常:JSON 无法解析或字段缺失
3. 输出概览
📊 PDLC 状态总览(共 <N> 个功能)
🚧 进行中(<M> 个)
- F20260419-090000 user-auth 当前:design 下一步:/pdlc-tdd
- F20260419-100000 pwd-reset 当前:impl 下一步:/pdlc-review
- B20260418-090000 login-crash 当前:fix_done 下一步:(完成)
✅ 已完成(<K> 个)
- F20260415-110000 feature-xyz 完成于 2026-04-16
⚠️ 待办建议
- F20260419-090000 停留在 design 超过 2 天,建议推进 /pdlc-tdd
3.5 关系树视图(RFC#6)
若存在 docs/.pdlc-state/_relations.json,附加关系视图(读其 index 的 inbound/outbound):
🔗 关系链
F20260419-090000 user-auth
├─ extends → F20260415-110000 feature-xyz
└─ ← depended_on_by F20260419-100000 pwd-reset
🧩 孤立 feature(无任何关系):F20260420-130000
- 出边用
→,入边用← <反向类型> - 末尾列 orphans(inbound + outbound 均空的 feature)
_relations.json不存在时跳过本节(Phase 1 向后兼容);Phase 2 起关系视图进入默认总览
4. 参数处理
$ARGUMENTS为空或--all→ 输出所有功能$ARGUMENTS为功能ID → 只输出该功能的详情(含 history 全量 + 该 feature 的关系)--relations→ 只输出关系树视图
参数
--all(默认):全部功能总览<feature-id>:单个功能的完整 history--relations:只输出关系树视图(出边 + 入边 + orphans)--stale <days>:列出停留在同一阶段超过<days>天的功能(默认 3 天)
参数:$ARGUMENTS
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.
- 11d ago First seen · 84 lines · 26 tokens per session scan A fd27608f3e8d
pdlc-status is a skill published in the GitHub repository kanfu-panda/pdlc-skills (13 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 817 once invoked, about $0.0001 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.
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