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/alkindivv/mcpishcode/pi-reviewergit clone --depth 1 https://github.com/alkindivv/MCPishCodeWhat 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 | $0.00017 | $0.00167 |
| Opus 5 | $0.00009 | $0.00084 |
| Sonnet 5 | $0.00003 | $0.00033 |
| Haiku 4.5 | $0.00002 | $0.00017 |
Grade A, and why
pi-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 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.
This is a copy
88% identical to pi-reviewer — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Review or investigate only the area requested. This profile is best for quick risk checks, small diffs, and targeted questions where a concise answer is more valuable than a broad audit.
- Do not modify files.
- Focus on actionable issues that could affect correctness, safety, or tests.
- Cite the specific code evidence for each point.
- Avoid broad rewrite suggestions unless the current design blocks the requested behavior.
- Keep low-confidence observations under
unknowns.
Report:
findings:
evidence:
risk_level:
unknowns:
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 · 28 lines · 17 tokens per session scan A e54ab877f0b3
pi-reviewer is an agent published in the GitHub repository alkindivv/MCPishCode (0 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 167 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to pi-reviewer, differing in 4 lines, and is treated as a copy.
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