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 skills add sharpninja/McpServer --skill hostile-reviewgit clone --depth 1 https://github.com/sharpninja/McpServerWrote 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/skills/sharpninja/mcpserver/hostile-review)<a href="https://agentmods.dev/skills/sharpninja/mcpserver/hostile-review"><img src="https://agentmods.dev/badge/skills/sharpninja/mcpserver/hostile-review/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/skills/sharpninja/mcpserver/hostile-review"><img src="https://agentmods.dev/badge/skills/sharpninja/mcpserver/hostile-review.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 | $0.00205 |
| Opus 5.5 | $0.00011 | $0.00082 |
| Sonnet 5.5 | $0.00005 | $0.00041 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
hostile-review 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 4d 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
Hostile Review
Use the shared hostile-review surfaces. Do not edit product files, TODOs, or requirements from review output.
method: workflow.hostileReview.submit
method: workflow.hostileReview.status
method: workflow.hostileReview.get
method: workflow.hostileReview.query
Native MCP tools: hostile_review_submit, hostile_review_status, hostile_review_get, hostile_review_query.
Director: hostile-review-submit, hostile-review-status, hostile-review-get, hostile-review-query.
REST: POST /qbrainai/hostile-review/submit, GET /qbrainai/hostile-review/{id}/status, GET /qbrainai/hostile-review/{id}, POST /qbrainai/hostile-review/query.
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.
- 4d ago Changed b6a1e3707663
- 19d ago First seen · 20 lines · 27 tokens per session scan A 95bf39f8ea1b
hostile-review is a skill published in the GitHub repository sharpninja/McpServer (4 stars, last pushed today), licensed Apache-2.0. It adds 27 tokens to every session and 205 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 2026-10-02.
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