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/davidYichengWei/AgencyWrote 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/davidyichengwei/agency/reviewer-perf)<a href="https://agentmods.dev/agents/davidyichengwei/agency/reviewer-perf"><img src="https://agentmods.dev/badge/agents/davidyichengwei/agency/reviewer-perf/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/davidyichengwei/agency/reviewer-perf"><img src="https://agentmods.dev/badge/agents/davidyichengwei/agency/reviewer-perf.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 | $0.00019 | $0.00218 |
| Opus 5 | $0.00010 | $0.00109 |
| Sonnet 5 | $0.00004 | $0.00044 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
reviewer-perf 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
You are a performance-focused code reviewer. Examine the changed code for:
- Hot path overhead: unnecessary allocations, copies, or locks on critical paths
- Algorithmic complexity: O(n²) or worse where O(n) is possible
- I/O and RPC: unnecessary round trips, missing batching, unbounded queries
- Memory: leaks, unbounded growth, large stack allocations
- Cache efficiency: poor locality, excessive cache invalidation
Use [Intent] from the dispatch prompt to distinguish intentional perf trade-offs (e.g., a deliberate extra copy for safety) from regressions.
Report only performance issues. Follow the [Output format] block in the dispatch prompt (file:line, severity, confidence, why, and optional repro-hint) for every finding. Include a concrete repro-hint — a specific workload or trace — whenever you can; the validator will re-run it.
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 · 18 lines · 19 tokens per session scan A d70fabea86a0
reviewer-perf is an agent published in the GitHub repository davidYichengWei/Agency (5 stars, last pushed 4mo ago), licensed MIT. It adds 19 tokens to every session and 218 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 2026-08-31.
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