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 commands/ricoyudog/coding_corgi_flow/human-qagit clone --depth 1 https://github.com/ricoyudog/Coding_Corgi_flowWhat 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 | $0.00021 | $0.00207 |
| Opus 5 | $0.00010 | $0.00103 |
| Sonnet 5 | $0.00004 | $0.00041 |
| Haiku 4.5 | $0.00002 | $0.00021 |
Grade A, and why
Corgi: Human QA 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 3d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 3d ago First seen · 15 lines · 21 tokens per session scan A d5a4e88374f2
Corgi: Human QA is a command published in the GitHub repository ricoyudog/Coding_Corgi_flow (104 stars, last pushed 14d ago), with no licence file. It adds 21 tokens to every session and 207 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 2026-08-30.
Other commands, from other repositories
qawolfCliRunResults.template
How to use what qawolf run get --run-id --json returns, and how to read the Playwright trace it links to.
qawolf-cli
Manage QA Wolf through the qawolf CLI. Use when asked to create, update, or list coverage requests, bug reports, or maintenance reports; start a run of flows or tags on the QA Wolf platform or read a run's results; list, set, or delete environment variables; manage environments, flows, or tags; request automation of…
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
gauntlet
Onboarding gauntlet: a bounded-revise loop that converges a repo's contributor surface (docs + scripts + card template) by making a synthetic-dev agent onboard from the docs alone in a fresh clean room, build one seed card, and submit. Each round persists a full run record; the orchestrator revises the surface, tears…
execute-scenario
Execute BDD test scenarios in a .feature file using browser automation. Use --record to generate a Playwright .spec.js file.
naive-test
Drive the live app as a naive first-time user and report UX/behavior gaps before deploy.