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 simota/agent-skills --skill magigit clone --depth 1 https://github.com/simota/agent-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/simota/agent-skills/magi)<a href="https://agentmods.dev/skills/simota/agent-skills/magi"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/magi/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/simota/agent-skills/magi"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/magi.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 | $0.00040 | $0.05651 |
| Opus 5 | $0.00020 | $0.02825 |
| Sonnet 5 | $0.00008 | $0.01130 |
| Haiku 4.5 | $0.00004 | $0.00565 |
Grade C, and why
magi scanned grade C with 1 finding 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 6d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- CAPABILITIES_SUMMARY: - multi_perspective_deliberation: Three-lens evaluation (Logos/Pathos/Sophia) for balanced decisions - architecture_arbitration: Tech stack selection, pattern evaluation, system design decision How it starts
The opening of the file, as written. The whole thing — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.
What ships with it
39 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.
- _common 10 B
- reference/_common 13 B
- reference/action-extraction.md 4.7 KB
- reference/attestation-tiers.md 3.3 KB
- reference/autorun-schema.md 1.9 KB
- reference/channeling-method.md 4.6 KB
- reference/conclave-protocol.md 2.6 KB
- reference/decision-domains.md 11 KB
- reference/decision-templates.md 28 KB
- reference/deliberation-framework.md 9.2 KB
- reference/delphi-method.md 8.7 KB
- reference/devils-advocate.md 8.4 KB
- reference/engine-deliberation-guide.md 11 KB
- reference/ethics-and-safety.md 4.2 KB
- reference/figure-roster.md 3.3 KB
- reference/founder-anti-patterns.md 8.4 KB
- reference/judge 11 B
- reference/magi 10 B
- reference/office-hours-format.md 8.9 KB
- reference/pattern-library.md 11 KB
- reference/pitch-critique.md 11 KB
- reference/probing-questions.md 7.4 KB
- reference/recipes-index.md 2.6 KB
- reference/reference-index.md 3.3 KB
- reference/reframing-toolkit.md 3.3 KB
- reference/six-thinking-hats.md 8.2 KB
- reference/spark 11 B
- reference/strategy-simulation/blue-ocean-strategy.md 11 KB
- reference/strategy-simulation/disruption-detection.md 12 KB
- reference/strategy-simulation/financial-modeling-pitfalls.md 9.4 KB
- reference/strategy-simulation/market-sizing-strategy.md 7.5 KB
- reference/strategy-simulation/scenario-planning-pitfalls.md 4.8 KB
- reference/strategy-simulation/simulation-patterns.md 4.4 KB
- reference/strategy-simulation/strategic-anti-patterns.md 6.2 KB
- reference/strategy-simulation/strategic-calibration.md 6.9 KB
- reference/strategy-simulation/strategy-monitoring.md 3.4 KB
- reference/strategy-simulation/wargaming-simulation.md 9.5 KB
- reference/tri-engine-deliberate.md 27 KB
- reference/voting-mechanics.md 12 KB
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.
- 6d ago First seen · 303 lines · 40 tokens per session scan C d7fcc266e779
magi is a skill published in the GitHub repository simota/agent-skills (76 stars, last pushed 7d ago), licensed MIT. It adds 40 tokens to every session and 5,651 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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