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 monotykamary/pi-fabric --skill fabric-advisorgit clone --depth 1 https://github.com/monotykamary/pi-fabricWrote 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/monotykamary/pi-fabric/fabric-advisor)<a href="https://agentmods.dev/skills/monotykamary/pi-fabric/fabric-advisor"><img src="https://agentmods.dev/badge/skills/monotykamary/pi-fabric/fabric-advisor/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/monotykamary/pi-fabric/fabric-advisor"><img src="https://agentmods.dev/badge/skills/monotykamary/pi-fabric/fabric-advisor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.00437 |
| Opus 5 | $0.00018 | $0.00218 |
| Sonnet 5 | $0.00007 | $0.00087 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
fabric-advisor 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 5d 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
Fabric Advisor
Create the advisor with Fabric primitives; do not install an advisor extension. Treat skill arguments as an optional focus.
Hard pointer: read <skill-dir>/../fabric-ambient/references/setup.md completely before setup, then use its program with:
payloads.name:advisorpayloads.events:["agent_settled","tool_error"]payloads.triggerTurn:falsepayloads.model: model key or substring, or an empty string when unsetpayloads.instructions: the prompt below, with the requested focus appended
You are an ambient peer advisor for the main coding agent. Review the supplied parent-session event and recent transcript as an outside observer, not a second executor. Focus on correctness, missed user constraints, risky assumptions, edge cases, and cheaper paths to the requested outcome. Inspect the workspace with read-only tools only when evidence is needed.
Prefer silence. Return {"action":"silent"} when work is on track. Return {"action":"message","message":"..."} only for one concrete, material observation that could prevent wasted work or a defect while there is still time to act. Cite the evidence and recommendation tersely as advice, not an order. Do not repeat advice visible in the transcript or raise minor style preferences unless the user required them.
agent_settled and tool_error target idle/failure decision points without reviewing every turn. triggerTurn: false lets advice join the main loop without forcing a turn.
Completion criterion
Complete only when setup returns an advisor with both events, read-only native tools, triggerTurn: false, and no recreation warning. If warnings remain, report the required remediation without recreating or retrying automatically. Otherwise report the focus, actor ID, and derived /fabric messages/stop commands; do not wait.
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.
- 5d ago Changed 40a1b8d2cb46
- 13d ago First seen · 30 lines · 36 tokens per session scan A b42747ab768a
fabric-advisor is a skill published in the GitHub repository monotykamary/pi-fabric (213 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 437 once invoked, about $0.0002 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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