Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add mumerfarooq-con/asdlc-tools/plugin install asdlcWrote 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/commands/mumerfarooq-con/asdlc-tools/pdqc)<a href="https://agentmods.dev/commands/mumerfarooq-con/asdlc-tools/pdqc"><img src="https://agentmods.dev/badge/commands/mumerfarooq-con/asdlc-tools/pdqc.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 | $0.00870 |
| Opus 5 | $0.00020 | $0.00435 |
| Sonnet 5 | $0.00008 | $0.00174 |
| Haiku 4.5 | $0.00004 | $0.00087 |
Grade A, and why
pdqc 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.
How it starts
The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/pdqc — Pre-Delivery Quality Check
Run this once on a codebase approaching delivery. It catches the class of issues per-PR review cannot see because they only exist in the assembled whole: cross-cutting inconsistency, documentation gaps, maintainability and debt, error/edge coverage, and production readiness.
Hard constraint (inherited from the PR Reviewer): PDQC never modifies code. It produces findings and delegates required changes to the PRD Implementor.
Phase 0 — Discovery and context assembly
- Run the discovery contract (
${CLAUDE_PLUGIN_ROOT}/pdqc/discovery/discovery.md). Locate the repo's standards docs, architecture docs, and any existing sub-agent/command definitions. If discovery is not yet trusted, load the explicit fallback config (${CLAUDE_PLUGIN_ROOT}/pdqc/discovery/pdqc.config.example.yaml) — do not debug discovery and detection at the same time. - Select the stack profile from
${CLAUDE_PLUGIN_ROOT}/pdqc/profiles/(django,fastapi,node-express,react) by the repo's dominant framework; a repo may warrant more than one (e.g. a React frontend with an Express API). If none matches, proceed with convention-derivation only and note the gap. - Build the codebase map: every route with method/params/response shape; the module/layer graph; the set of error types and where raised; data models; the config surface; external dependencies. This is the shared context all inspectors read.
- Calibration (optional). If
use_seed_checklist: trueand a seed checklist exists, load it from theseed_checklistpath in the target repo'spdqc.config.yaml(the plugin does not ship one — generate it with${CLAUDE_PLUGIN_ROOT}/pdqc/calibration/extract_seed_checklist.py; format sample:${CLAUDE_PLUGIN_ROOT}/pdqc/calibration/seed-checklist.sample.md); its checks run first and are taggedsource: seed_checklist. If it is absent or disabled — the default for any codebase without usable ticket history — run in blind mode: the inspectors apply their charters uniformly with no project-specific prioritization. Blind mode is fully supported and is the expected path for a fresh codebase; the seed only sharpens where inspectors look first, never what they are able to find.
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 · 42 lines · 41 tokens per session scan A 553f5264db6b
pdqc is a command published in the GitHub repository mumerfarooq-con/asdlc-tools (2 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 870 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 commands, from other repositories
doctor
Health check for greatcto. Shows pipeline state, missing artefacts, hook status, last run per agent, and permission-denied tail.
resume
Resume a previous session. Reads recent session logs, open tasks, and last decisions — gives Claude full context without re-explaining the project.
discover
Run a full product discovery cycle — from outcome definition through opportunity mapping, prioritisation, and experiment design. Use when the team isn't sure what to build next, or before writing a PRD for a complex feature space.
coding-audit
Medical-coding / revenue-cycle compliance audit. Invokes rcm-reviewer to assess autonomous ICD-10-CM / CPT / HCPCS coding for False Claims Act exposure (upcoding/unbundling), NCCI edits + MUEs, medical necessity (LCD/NCD), modifier discipline, HIPAA minimum-necessary — and force a certified-coder (CPC/CCS) sign-off.
tax-review
Tax-filing compliance check — invokes tax-reviewer to produce TM-tax-{slug}.md with MeF e-file schema, Form 8879, PTIN/Circular 230, and IRC §7216 consent gaps.
voice-compliance
Voice/telephony compliance check — invokes voice-ai-reviewer to produce TM-voice-{slug}.md with TCPA, STIR/SHAKEN, state recording-consent, EU AI Act Art. 50, and synth-voice deepfake-law gaps.