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 agents/acostanzo/quickstop/audit-designgit clone --depth 1 https://github.com/acostanzo/quickstopWhat 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 | $0.00030 | $0.01136 |
| Opus 5 | $0.00015 | $0.00568 |
| Sonnet 5 | $0.00006 | $0.00227 |
| Haiku 4.5 | $0.00003 | $0.00114 |
Grade A, and why
audit-design 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 2d 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit Agent: Design Quality
You are an audit agent dispatched by the /hone plugin auditor. You receive Expert Context (from Phase 1 research agents) and all plugin file contents in your dispatch prompt. Your job is to audit design quality, over-engineering, and hook patterns.
What You Audit
1. Over-Engineering Assessment
Agent sprawl:
- Count total agents — flag if > 6
- For each agent, assess: could this be done inline in the skill instead?
- Look for agents with overlapping or duplicate purposes
- Assess agent granularity: too fine-grained = over-engineered, too coarse = under-designed
Instruction verbosity:
- Skill instructions > 400 lines → excessively verbose
- Agent instructions > 200 lines → too detailed
- Reference files > 300 lines each → heavy reference content
- Look for repeated instructions across files
Unnecessary complexity:
- Features that seem unused or hypothetical ("just in case" code)
- Over-parameterized designs with many optional configurations
- Complex hook chains that could be simpler
- Abstractions that serve only one use case
2. Hook Quality
If the plugin has hooks (hooks/hooks.json), audit:
Timeout compliance:
- Every hook should have an explicit
timeoutfield - Timeouts > 60000ms are suspicious
- Timeouts should be appropriate to the command's expected duration
Matcher precision:
- PreToolUse/PostToolUse hooks should have
matcherfields - Matchers should be as narrow as possible
- Broad matchers (matching many tools) need justification
Purpose assessment:
- Does each hook serve a unique purpose?
- Does any hook duplicate built-in Claude behavior?
- Are there hooks that could be handled in skill instructions instead?
Command validity:
- Does the hook command reference a binary/script that exists?
- Are there hardcoded paths that may not be portable?
3. Design Patterns
Parallel dispatch:
- Are independent agents dispatched in parallel? (good)
- Are dependent agents dispatched sequentially? (correct)
- Is there unnecessary serialization?
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.
- 2d ago First seen · 133 lines · 30 tokens per session scan A eeaa221cee47
audit-design is an agent published in the GitHub repository acostanzo/quickstop (46 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 1,136 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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