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.
git clone --depth 1 https://github.com/wildcard/caroWrote 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/wildcard/caro/caro.frustrated-qa)<a href="https://agentmods.dev/commands/wildcard/caro/caro.frustrated-qa"><img src="https://agentmods.dev/badge/commands/wildcard/caro/caro.frustrated-qa/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/commands/wildcard/caro/caro.frustrated-qa"><img src="https://agentmods.dev/badge/commands/wildcard/caro/caro.frustrated-qa.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 | $0.00000 | $0.03664 |
| Opus 5 | $0.00000 | $0.01832 |
| Sonnet 5 | $0.00000 | $0.00733 |
| Haiku 4.5 | $0.00000 | $0.00366 |
Grade B, and why
caro.frustrated-qa scanned grade B with 1 finding 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 8d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
| 3 | Schedule entry | `cat .claude/automation/config/schedule.yaml` shows `frustrated_qa_loop` at `0 5 * * *` | The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 8d ago First seen · 351 lines · 0 tokens per session scan B 233c830443f5
caro.frustrated-qa is a command published in the GitHub repository wildcard/caro (37 stars, last pushed yesterday), licensed AGPL-3.0. It costs nothing until one of its globs matches a file; then it loads 3,664 tokens. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.
Other commands, from other repositories
verify-work
Verify feature, bug, UI, API, mobile, security, or deployment work against acceptance criteria.
workflow-implement
Exécuter la phase d'Implémentation - développement sprint avec TDD/BDD.
aqa-flow
Router workflow for test automation: routes to ui-aqa-flow, api-aqa-flow, or testgen-flow. Kept for backward compatibility.
sddp-implement-qc-loop
Command description: Run implement and QC in a continuous loop. Argument hint: [optional: feature directory or branch name] Command category: orchestration Prerequisites: spec, plan, tasks.
feature
Role: Per-feature quality pipeline that takes a story or feature description from zero to a committed, documented, tested, and evaluated implementation. No stage is skipped. No commit happens without the evaluator's approval.
tickets-implement
This is a user-invocable command. Execute it only because the current invocation explicitly selected it. It takes no arguments: every invocation processes the complete current project queue that is ready for implementation.