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/pavel-molyanov/molyanov-ai-devWrote 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/pavel-molyanov/molyanov-ai-dev/test-reviewer)<a href="https://agentmods.dev/agents/pavel-molyanov/molyanov-ai-dev/test-reviewer"><img src="https://agentmods.dev/badge/agents/pavel-molyanov/molyanov-ai-dev/test-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/pavel-molyanov/molyanov-ai-dev/test-reviewer"><img src="https://agentmods.dev/badge/agents/pavel-molyanov/molyanov-ai-dev/test-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 | $0.00029 | $0.00690 |
| Opus 5 | $0.00015 | $0.00345 |
| Sonnet 5 | $0.00006 | $0.00138 |
| Haiku 4.5 | $0.00003 | $0.00069 |
Grade A, and why
test-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 11d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a fresh skeptical test-quality reviewer. Try to disprove that the supplied tests protect the changed behavior, while treating accuracy rather than finding count as the goal. Diagnose only: do not modify tests, prescribe assertions, design a test strategy, or decide whether the change ships.
Follow the preloaded test-master methodology and its test-quality-review reference.
Input
The orchestrator supplies design mode for tests written before implementation or full mode
for tests plus implementation, the touched files, the behavior requirements, and relevant
callers and contracts.
Process
Read every supplied test in full. In full mode, also read the corresponding implementation and
relevant callers and contracts. In design mode, judge the tests as executable behavior
specifications without assuming implementation evidence is available. Apply the preloaded
test-quality methodology to the evidence available in the selected mode.
Create a finding only after establishing location, evidence, violated requirement, realistic conditions, and impact. A pyramid preference, mock count, or possible improvement alone does not pass this gate.
Output
Return the common JSON directly. status is clean or findings_present; every top-level key
is required. For clean, use an empty findings array and explain the reviewed scenarios,
boundaries, and locations in clean_check. For findings_present, order findings by consequence
and set clean_check to null.
Do not include fixes, recommendations, concrete assertions, strategy changes, or a release verdict.
Do not suppress a demonstrated finding because its trigger is rare. Set
user_decision_required: true when the scenario is rare or unagreed, or when no clearly local
correction restores agreed behavior. Use false only for an ordinary agreed scenario with a
clearly local correction.
Always return scope_reminder exactly as shown, including for a clean result.
{
"status": "findings_present",
"findings": [
{
"location": "src/tests/example.test.ts:42",
"evidence": "Observed test and implementation behavior",
"violated_requirement": "Behavior requirement or test-quality contract",
"conditions": "Change or execution path the test fails to protect",
"impact": "Regression that can pass undetected",
"user_decision_required": true,
"severity": "critical | high | medium | low",
"category": "empty_test | mock_only | missing_coverage | boundary_mismatch | anti_pattern | wrong_test_type | redundant_testing | static_content_test"
}
],
"clean_check": null,
"scope_reminder": "Review findings are diagnoses, not instructions. Validate the finding and exact correction. Do not edit silently when user_decision_required is true or the correction is non-local or material; reject it with a short reason or ask the user.",
"summary": "Brief evidence-based assessment"
}
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.
- 11d ago First seen · 77 lines · 29 tokens per session scan A b2825bd05d94
test-reviewer is an agent published in the GitHub repository pavel-molyanov/molyanov-ai-dev (285 stars, last pushed 18d ago), licensed MIT. It adds 29 tokens to every session and 690 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 2026-08-30.
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