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pdlc-review

pdlc-review is a skill for Claude Code from kanfu-panda/pdlc-skills. It costs 47 tokens per session (10,454 once invoked), scanned A, original, MIT.

A code-review workflow that checks an implementation against its design, tests, coding rules, quality checks, and common security concerns. It requires the implementation to exist and its tests to pass before reviewing it.

In plain words
What is it for?
Use it to review APIs, database structures, response formats, naming, duplication, error handling, logging, input handling, permissions, sensitive data, and other implementation details, with required lint checks and fixes.
Why use it?
It prevents review from proceeding when there is no implementation or when tests are failing. It also brings design mismatches, weak coverage, code-quality issues, and risks such as injection or missing authorization into one review.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the pdlc plugin — 38 skills, 2 hooks shipped together

not rated 18repo changed 15d ago A scan SkillSpector: warn 47 tokens original MIT

Good fit Use it to review APIs, database structures, response formats, naming, duplication, error handling, logging, input handling, permissions, sensitive data, and other implementation details, with required lint checks and fixes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kanfu-panda/pdlc-skills/pdlc-review
View source ↗ kanfu-panda/pdlc-skills kanfu-panda.github.io
Install

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.

Any agent
npx skills add kanfu-panda/pdlc-skills --skill pdlc-review
Clone the repo
git clone --depth 1 https://github.com/kanfu-panda/pdlc-skills

Made for: Claude Code.

Or install pdlc, the plugin that ships this one along with the rest of its 38 skills, 2 hooks.

Wrote 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.

agentmods badge for pdlc-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/kanfu-panda/pdlc-skills/pdlc-review/github.svg)](https://agentmods.dev/skills/kanfu-panda/pdlc-skills/pdlc-review)
Your own site
<a href="https://agentmods.dev/skills/kanfu-panda/pdlc-skills/pdlc-review"><img src="https://agentmods.dev/badge/skills/kanfu-panda/pdlc-skills/pdlc-review/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.

agentmods 80×15 button for pdlc-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/kanfu-panda/pdlc-skills/pdlc-review"><img src="https://agentmods.dev/badge/skills/kanfu-panda/pdlc-skills/pdlc-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,454 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Prompt Injection · line 19
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Prompt Injection · line 19
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00047 $0.10454
Opus 5.5 $0.00019 $0.04182
Sonnet 5.5 $0.00009 $0.02091
Haiku 4.5 $0.00005 $0.01045

Measured 15d ago against content hash b7bc421b4d0a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pdlc-review 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 15d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/pdlc-advance.sh, scripts/pdlc-checks.sh, scripts/pdlc-state-lint.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/pdlc-review/SKILL.md · 565 lines

How it starts

The opening of the file, as written. The whole thing — 565 lines — stays where its author put it; the contents beside it link to each section on GitHub.

代码评审

⛔ IRON LAW · 不可违反的硬门禁

以下规则为不可协商的执行约束：

  1. 文件必须落盘：所有带编号（功能ID / 缺陷ID）的文档，必须作为实际文件写入磁盘，不可仅在对话中输出。
  2. 阶段必须落章：每个阶段完成后必须在状态机 docs/.pdlc-state/<feature-id>.json 追加 history，不可跳过。
  3. 测试必须存在：进入 /pdlc-implement 前，对应测试必须存在且处于红灯状态。违反则中止。
  4. 自检必须执行：段二自检为强制步骤，不得以"已经很好了"为由跳过。
  5. 防循环：段三修复为单次，不递归。无法自动修复的问题记录到报告，继续往下走。
  6. 状态必推进：成功执行某 phase 后 current_stage 必须变更。收尾时若发现 current_stage 未推进，视为失败并报错，不得静默返回（防止外层循环拿滞后的状态空转烧额度）。唯一例外：命中人工点主动 block 时，current_stage 保持不变但必须写 last_phase_result.ok=false + blocked_reason。

违反任一条 = 立即中止当前命令，输出违规详情，等待人工介入。

非交互模式（--autonomous）

若本命令的参数含 --autonomous，本命令进入无人值守模式，按以下规则处理原本需要人应答的交互点。参数是唯一真源：不带 --autonomous 即为交互模式，一切照旧正常询问用户；绝不回读状态机 run_mode 兜底（「掉出 autonomous」是安全的失败方向）。

  1. 流程性确认（如「测试已绿是否继续」「是否覆盖已有文件」）→ 不询问，按预设默认前进，并把决策追加到状态机 history[].auto_decisions[] （写状态机的命令：推进时给状态推进脚本传 --decision "<确认点描述>=<所选默认>"，可重复；脚本写成下面的样子）： 
    { "point": "<确认点描述>", "chose": "<所选默认>", "at": "<ISO 8601>" }
  2. 真需人判断（PRD 关键取舍、评审「需人工确认」项、真实循环依赖、测试与设计 / PRD 矛盾等无法安全默认的点）→ 不猜。 改测试、改检查命令让它变绿，永远不是「流程性默认」，不能记成 --decision：
    • current_stage 保持不变（不推进）
    • 写 last_phase_result.ok = false 且 blocked_reason = "<原因>"（写状态机的命令：给状态推进脚本传 --blocked "<原因>"）
    • 末行输出哨兵：<<<PDLC blocked reason="<原因>">>>
    • 立即结束命令，交还人类
    • 守卫拦截也走这一条：前置守卫（缺设计文档、缺测试、测试没红等）在 --autonomous 下拦住本命令时， 不能只输出 ⛔ 就停——同样写 ok=false + blocked_reason（写明哪条守卫、缺什么）并输出哨兵。 否则状态机里仍是上一阶段的 ok=true，循环驱动只看到 current_stage 没动，会把「被拦」误报成「卡住」，真实原因丢失。
  3. 破坏性操作（发布 / 部署 / 打 tag / 触发 CI / DROP / force-push 等不可逆·外发操作）→ --autonomous 无效，仍必须人工显式确认。
  4. 顺手的 sidecar 产物（如缺失时创建 CHANGELOG.md、补全文档 PDLC-TRACE 的创建时间等本阶段职责内、可安全默认的辅助改动）→ 视为流程性默认，直接做并记入 auto_decisions[]；这类改动不新增外部副作用，不属破坏性操作。

进入 autonomous 模式时，在状态机顶层写 run_mode: "autonomous" 仅供留痕（复盘区分人工 vs 循环产出）。

Read the full file on GitHub · 565 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 15d ago Changed · +29 lines b7bc421b4d0a
  2. 19d ago Changed · +7 lines · +34 tokens per session 8b240efb9c48
  3. 20d ago Changed · +17 lines bd58b4e8aae2
  4. 1mo ago Changed · +260 lines 5db42cd1b8cc
  5. 1mo ago First seen · 252 lines · 13 tokens per session scan A 8233d0edf44a

Subscribe to this mod's changes

pdlc-review is a skill published in the GitHub repository kanfu-panda/pdlc-skills (18 stars, last pushed 14d ago), licensed MIT. It adds 47 tokens to every session and 10,454 once invoked, about $0.0002 per session on Opus 5.5. 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.

Claude CodeCode reviewagentic-workflowai-agentai-codingclaude-pluginclaude-skills
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