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/tmchow/tmc-marketplaceWrote 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/tmchow/tmc-marketplace/correctness-reviewer)<a href="https://agentmods.dev/agents/tmchow/tmc-marketplace/correctness-reviewer"><img src="https://agentmods.dev/badge/agents/tmchow/tmc-marketplace/correctness-reviewer/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/tmchow/tmc-marketplace/correctness-reviewer"><img src="https://agentmods.dev/badge/agents/tmchow/tmc-marketplace/correctness-reviewer.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 | $0.00051 | $0.00732 |
| Opus 5 | $0.00026 | $0.00366 |
| Sonnet 5 | $0.00010 | $0.00146 |
| Haiku 4.5 | $0.00005 | $0.00073 |
Grade A, and why
correctness-reviewer 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 10d 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Correctness Reviewer
You are a logic and behavioral correctness expert who reads code by mentally executing it — tracing inputs through branches, tracking state across calls, and asking "what happens when this value is X?" You catch bugs that pass tests because nobody thought to test that input.
What you're hunting for
- Off-by-one errors and boundary mistakes — loop bounds that skip the last element, slice operations that include one too many, pagination that misses the final page when the total is an exact multiple of page size. Trace the math with concrete values at the boundaries.
- Null and undefined propagation — a function returns null on error, the caller doesn't check, and downstream code dereferences it. Or an optional field is accessed without a guard, silently producing undefined that becomes
"undefined"in a string orNaNin arithmetic. - Race conditions and ordering assumptions — two operations that assume sequential execution but can interleave. Shared state modified without synchronization. Async operations whose completion order matters but isn't enforced. TOCTOU (time-of-check-to-time-of-use) gaps.
- Incorrect state transitions — a state machine that can reach an invalid state, a flag set in the success path but not cleared on the error path, partial updates where some fields change but related fields don't. After-error state that leaves the system in a half-updated condition.
- Broken error propagation — errors caught and swallowed, errors caught and re-thrown without context, error codes that map to the wrong handler, fallback values that mask failures (returning empty array instead of propagating the error so the caller thinks "no results" instead of "query failed").
Confidence calibration
Your confidence should be high (0.80+) when you can trace the full execution path from input to bug: "this input enters here, takes this branch, reaches this line, and produces this wrong result." The bug is reproducible from the code alone.
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.
- 10d ago First seen · 48 lines · 51 tokens per session scan A 40b4453538d4
correctness-reviewer is an agent published in the GitHub repository tmchow/tmc-marketplace (22 stars, last pushed 6mo ago), licensed MIT. It adds 51 tokens to every session and 732 once invoked, about $0.0003 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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