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 PSPDFKit-labs/pi-skills --skill multi-agent-security-reviewgit clone --depth 1 https://github.com/PSPDFKit-labs/pi-skillsWrote 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/pspdfkit-labs/pi-skills/multi-agent-security-review)<a href="https://agentmods.dev/skills/pspdfkit-labs/pi-skills/multi-agent-security-review"><img src="https://agentmods.dev/badge/skills/pspdfkit-labs/pi-skills/multi-agent-security-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/pspdfkit-labs/pi-skills/multi-agent-security-review"><img src="https://agentmods.dev/badge/skills/pspdfkit-labs/pi-skills/multi-agent-security-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 | $0.00045 | $0.03834 |
| Opus 5.5 | $0.00018 | $0.01534 |
| Sonnet 5.5 | $0.00009 | $0.00767 |
| Haiku 4.5 | $0.00005 | $0.00383 |
Grade A, and why
multi-agent-security-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 2mo 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 301 lines · 45 tokens per session scan A c1cfa265bc28
multi-agent-security-review is a skill published in the GitHub repository PSPDFKit-labs/pi-skills (17 stars, last pushed 5mo ago), with no licence file. It adds 45 tokens to every session and 3,834 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
fabric-spec
Starts a persistent Pi Fabric spec supervisor that audits the main session against a feature design spec and steers only when a requirement lacks verified evidence. Use for strict, unblocked spec compliance while the main agent keeps full freedom to orchestrate.
fabric-advisor
Starts a persistent Pi Fabric peer advisor that reviews the main agent at decision points and surfaces only concrete, material advice. Use for ambient correctness review without another extension.
review-harness
Use when reviewing work performed through a Pi task harness. Checks accepted scope, executed validation records, final artifacts and remaining risks without trusting self-reported completion notes.
ce:review-beta
Reviews code changes using dynamically selected reviewer personas. Spawns parallel sub-agents that return structured JSON, then merges and deduplicates findings into a single report.
ce:review
Perform exhaustive code reviews using multi-agent analysis, ultra-thinking, and worktrees.
julik-frontend-races-reviewer
Reviews JavaScript and Stimulus code for race conditions, timing issues, and DOM lifecycle problems. Use after implementing or modifying frontend controllers or async UI code.