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-taskgit 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-task)<a href="https://agentmods.dev/skills/kanfu-panda/pdlc-skills/pdlc-task"><img src="https://agentmods.dev/badge/skills/kanfu-panda/pdlc-skills/pdlc-task/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-task"><img src="https://agentmods.dev/badge/skills/kanfu-panda/pdlc-skills/pdlc-task.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00023 | $0.02880 |
| Opus 5 | $0.00012 | $0.01440 |
| Sonnet 5 | $0.00005 | $0.00576 |
| Haiku 4.5 | $0.00002 | $0.00288 |
Grade A, and why
pdlc-task 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
任务管理
管理功能开发任务的拆解、分配与进度追踪。支持从 PRD 自动拆解任务、标记任务状态。
子命令解析
从 $ARGUMENTS 中解析子命令和参数：
| 子命令 | 格式 | 说明 |
|---|---|---|
plan <功能名或功能ID> |
从 PRD 自动拆解任务列表 | |
list [功能名或功能ID] |
查看任务状态（不传则查看全部未完成任务） | |
start <任务ID> |
标记任务为进行中 | |
done <任务ID> |
标记任务为已完成 | |
blocked <任务ID> <原因> |
标记任务为阻塞，记录阻塞原因 | |
reopen <任务ID> |
重新打开任务（撤销 done/blocked） |
如果未提供子命令或子命令无法识别，输出以上帮助信息后停止。
任务 ID 与文件约定
任务 ID 格式
T<功能ID的日期-时分秒>-<NN>-<类型>
<功能ID的日期-时分秒>：所属功能ID去掉F前缀的部分（功能F20260718-094301→ 前缀20260718-094301）。嵌入 feature 的唯一时分秒，使任务号全局唯一且自带归属（一眼看出属哪个 feature）NN：本功能内两位递增序号（每 feature 从01起）- 类型：
feat— 功能代码实现test— 测试编写doc— 文档输出infra— 基础设施/脚手架design— 设计产出
示例：功能 F20260718-094301 的任务 → T20260718-094301-01-feat、T20260718-094301-02-test
为什么 T 用「功能ID时分秒前缀 + 本地序号」而非每个任务自取时分秒：任务在拆解时成批同秒创建，若各自取独立时分秒会互相撞号。改用「所属功能的时分秒前缀 + 本功能内序号」后：既全局唯一（继承功能ID的唯一性）、又自带归属（看得出属哪个 feature）、还并行安全（不同 feature 前缀不同，同批任务靠序号区分）。任务号收敛在唯一命名的 feature 任务文件内，不跨 feature 冲突。
任务清单文件路径
docs/06_tasks/<功能ID>-<功能名>-tasks.md
示例：docs/06_tasks/F20260406-093000-user-auth-tasks.md
若功能ID未知（如独立任务），使用：docs/06_tasks/YYYYMMDD-<关键词>-tasks.md
任务清单文档格式
<!-- PDLC-TASKS -->
<!-- 功能ID: F20260406-093000 -->
<!-- 功能名称: user-auth -->
<!-- 关联PRD: docs/01_requirements/prd/F20260406-093000-user-auth-prd.md -->
<!-- 最后更新: 2026-04-06 -->
# 任务清单：user-auth（F20260406-093000）
## 总览
- 总任务数：N
- 待开始：N | 进行中：N | 已完成：N | 阻塞：N
## 任务列表
> 下例为功能 `F20260406-093000`（user-auth）的任务清单——任务ID 前缀 `20260406-093000` 即该功能ID的时分秒段，`NN` 在本功能内递增。
| 任务ID | 类型 | 描述 | 状态 | 估时 | 截止日期 | 关联文档 | 备注 |
|--------|------|------|------|------|---------|---------|------|
| T20260406-093000-01-design | design | 创建 API 设计文档 | ⬜ 待开始 | 2h | 2026-04-07 | - | - |
| T20260406-093000-02-design | design | 创建数据库设计文档 | ⬜ 待开始 | 1h | 2026-04-07 | - | - |
| T20260406-093000-03-infra | infra | 生成代码脚手架 | ⬜ 待开始 | 0.5h | 2026-04-07 | - | - |
| T20260406-093000-04-test | test | 编写单元测试 | ⬜ 待开始 | 3h | 2026-04-08 | - | - |
| T20260406-093000-05-feat | feat | 实现注册接口 | ⬜ 待开始 | 4h | 2026-04-09 | - | - |
| T20260406-093000-06-feat | feat | 实现登录接口 | ⬜ 待开始 | 2h | 2026-04-09 | - | - |
| T20260406-093000-07-test | test | 运行测试确认绿灯 | ⬜ 待开始 | 1h | 2026-04-10 | - | - |
| T20260406-093000-08-doc | doc | 创建评审记录 | ⬜ 待开始 | 1h | 2026-04-10 | - | - |
## 阻塞记录
| 任务ID | 阻塞原因 | 记录时间 | 解除时间 |
|--------|---------|---------|---------|
| （暂无） | - | - | - |
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.
- 10d ago First seen · 208 lines · 23 tokens per session scan A 0f0e6b305b68
pdlc-task is a skill published in the GitHub repository kanfu-panda/pdlc-skills (13 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 2,880 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.
Other skills, from other repositories
postgres-database-migration
Use this skill for planning, testing, and safely executing PostgreSQL schema migrations — especially when working with production data or shared databases. Trigger when user asks to: Test a schema migration before applying it to production Add, remove, or rename columns safely on a live table Change a column's data…
design-postgis-tables
Comprehensive PostGIS spatial table design reference covering geometry types, coordinate systems, spatial indexing, and performance patterns for location-based applications.
migrate-postgres-tables-to-hypertables
Use this skill to migrate identified PostgreSQL tables to Timescale/TimescaleDB hypertables with optimal configuration and validation. Trigger when user asks to: Migrate or convert PostgreSQL tables to hypertables Execute hypertable migration with minimal downtime Plan blue-green migration for large tables Validate…
pgvector-semantic-search
Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. Trigger when user asks to: Store or search vector embeddings in PostgreSQL Set up semantic search, similarity search, or nearest neighbor search Create HNSW or IVFFlat indexes for vectors…
setup-timescaledb-hypertables
Use this skill when creating database schemas or tables for Timescale, TimescaleDB, TigerData, or Tiger Cloud, especially for time-series, IoT, metrics, events, or log data. Use this to improve the performance of any insert-heavy table. Trigger when user asks to: Create or design SQL schemas/tables AND…
postgres-hybrid-text-search
Use this skill to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF). Trigger when user asks to: Combine keyword and semantic search Implement hybrid search or multi-modal retrieval Use BM25/pgtextsearch with pgvector together Implement RRF (Reciprocal…