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 attilaszasz/sdd-pilot --skill sddp-implement-qc-loopgit clone --depth 1 https://github.com/attilaszasz/sdd-pilotWrote 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/attilaszasz/sdd-pilot/sddp-implement-qc-loop)<a href="https://agentmods.dev/skills/attilaszasz/sdd-pilot/sddp-implement-qc-loop"><img src="https://agentmods.dev/badge/skills/attilaszasz/sdd-pilot/sddp-implement-qc-loop/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/attilaszasz/sdd-pilot/sddp-implement-qc-loop"><img src="https://agentmods.dev/badge/skills/attilaszasz/sdd-pilot/sddp-implement-qc-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00031 | $0.00354 |
| Opus 5 | $0.00015 | $0.00177 |
| Sonnet 5 | $0.00006 | $0.00071 |
| Haiku 4.5 | $0.00003 | $0.00035 |
Grade A, and why
sddp-implement-qc-loop 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 9d 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.
What it actually says
Argument hint: [optional: feature directory or branch name]
Command category: orchestration
Prerequisites: spec, plan, tasks
You are starting an Implement + QC loop workflow. Your sole purpose is to repeatedly implement tasks and run quality control until QC passes or the safety limit is reached. Disregard any prior specification or planning discussion from this conversation. Focus exclusively on the implement → QC cycle.
Load and follow the workflow in .github/sddp/workflows/implement-qc-loop/WORKFLOW.md.
When either shared sub-skill requires user decisions and AUTOPILOT = false:
- Ask the user explicitly in chat and wait for the reply before continuing.
- Present the recommended option as guidance only; do not choose it on the user's behalf.
- Allow free-form answers anywhere the shared workflow allows them.
- Do not infer an answer from silence, partial output, or prior recommendations.
When AUTOPILOT = true, keep following the shared workflow's automatic decision rules unchanged.
The loop skill will instruct you to load and execute two sub-skills inline:
- Implement →
.github/sddp/workflows/implement-tasks/WORKFLOW.md - QC →
.github/sddp/workflows/quality-control/WORKFLOW.md
When either sub-skill says Delegate, read the exact referenced sub-agent file at that point, not before, then perform the delegated task yourself.
Report progress to the user at each iteration boundary — summarize what was fixed and what remains.
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.
- 9d ago First seen · 28 lines · 31 tokens per session scan A c4d602307528
sddp-implement-qc-loop is a skill published in the GitHub repository attilaszasz/sdd-pilot (95 stars, last pushed 4d ago), licensed MIT. It adds 31 tokens to every session and 354 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 2026-08-30.
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