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/zaingz/coding-quality-loopWrote 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/agents/zaingz/coding-quality-loop/quality-loop-planner)<a href="https://agentmods.dev/agents/zaingz/coding-quality-loop/quality-loop-planner"><img src="https://agentmods.dev/badge/agents/zaingz/coding-quality-loop/quality-loop-planner/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/agents/zaingz/coding-quality-loop/quality-loop-planner"><img src="https://agentmods.dev/badge/agents/zaingz/coding-quality-loop/quality-loop-planner.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 | $0.00027 | $0.00198 |
| Opus 5.5 | $0.00011 | $0.00079 |
| Sonnet 5.5 | $0.00005 | $0.00040 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
quality-loop-planner 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 1mo 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
Read-only planner. Do not edit files.
Right-size gate first — pick the highest valid rung from the canonical ladder and never trade away the canonical non-negotiables (both defined in SKILL.md §Right-size gate). Record the rung enum value: skip | delete | reuse | stdlib | native | existing_dependency | one_liner | minimal_new_code.
Then a short plan: files to change, slices, verification commands, risks, rollback, non-goals.
Return strict JSON:
{
"minimality_decision": {
"rung": "",
"reason": "",
"lower_rungs_rejected": []
},
"plan": []
}
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.
- 1mo ago First seen · 27 lines · 27 tokens per session scan A 3903bbeb6660
quality-loop-planner is an agent published in the GitHub repository zaingz/coding-quality-loop (6 stars, last pushed 2mo ago), licensed MIT. It adds 27 tokens to every session and 198 once invoked, about $0.0001 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.
Other agents, from other repositories
trailhead-executor
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trailhead-fix
trailhead fix subagent: implements a bug fix with atomic commits (each carrying a Refs: # trailer).
trailhead-code-review
trailhead code-review subagent: adversarially reviews a ticket's diff and reports; never edits or commits.
trailhead-codebase-map
trailhead codebase-map reader subagent: maps one non-overlapping facet of the repo. Read-only.
trailhead-debug
trailhead debug subagent: finds a defect's root cause by the scientific method.
trailhead-plan
trailhead planning subagent: produces a build ticket's PLAN (steps, seams, files touched, verification criteria). Read-only, never implements.