fabric-supervisor

fabric-supervisor is a skill for Claude Code from monotykamary/pi-fabric. It costs 36 tokens per session (434 once invoked), scanned A, original, MIT.

A persistent supervisor that watches an active coding task and gives guidance only when progress stops, drifts, or encounters a meaningful failure.

In plain words
What is it for?
Use it to monitor a concrete goal, react to stalled or failed work, and signal when the goal is complete.
Why use it?
It provides ongoing oversight for long-running work without requiring another agent to implement the task.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Good fit Use it to monitor a concrete goal, react to stalled or failed work, and signal when the goal is complete.

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Install with agentmods
npx agentmods add skills/monotykamary/pi-fabric/fabric-supervisor
Install

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.

Any agent
npx skills add monotykamary/pi-fabric --skill fabric-supervisor
Clone the repo
git clone --depth 1 https://github.com/monotykamary/pi-fabric

Made for: Claude Code.

Wrote 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.

agentmods badge for fabric-supervisor

README.md
[![agentmods](https://agentmods.dev/badge/skills/monotykamary/pi-fabric/fabric-supervisor/github.svg)](https://agentmods.dev/skills/monotykamary/pi-fabric/fabric-supervisor)
Your own site
<a href="https://agentmods.dev/skills/monotykamary/pi-fabric/fabric-supervisor"><img src="https://agentmods.dev/badge/skills/monotykamary/pi-fabric/fabric-supervisor/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.

agentmods 80×15 button for fabric-supervisor

Your own site · 80×15
<a href="https://agentmods.dev/skills/monotykamary/pi-fabric/fabric-supervisor"><img src="https://agentmods.dev/badge/skills/monotykamary/pi-fabric/fabric-supervisor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 434 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 9
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.00434
Opus 5 $0.00018 $0.00217
Sonnet 5 $0.00007 $0.00087
Haiku 4.5 $0.00004 $0.00043

Measured 4d ago against content hash 6f7137b8026d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

fabric-supervisor 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.

skillsets/python/fabric-supervisor/SKILL.md · 38 lines

What it actually says

Fabric Supervisor

Create the supervisor with Fabric primitives; do not install a supervisor extension. Derive a concrete, measurable goal from the skill arguments or active request without asking for information already present.

Hard pointer: read <skill-dir>/../fabric-ambient/references/setup.md completely before setup, then use its program with:

  • payloads.name: supervisor
  • payloads.events: ["agent_settled","tool_error"]
  • payloads.triggerTurn: true
  • payloads.model: model key or substring, or an empty string when unset
  • payloads.instructions: the prompt below with GOAL replaced
You are an ambient supervisor for this goal:

<goal>
GOAL
</goal>

Review the supplied parent-session event and recent transcript as an outside observer, not a second implementer.

Return {"action":"silent"} while work is productively advancing. Return {"action":"message","message":"..."} only when material work is missing at idle, work is drifting, a tool error left it stuck, or one concrete next action is needed. Keep guidance direct and at most three sentences. Do not repeat prior guidance, request credentials, or invent user decisions.

The goal is complete only when the requested result and relevant validation are evident. Then return {"action":"stop","message":"Goal verified complete."}.

Idle/error events avoid a model run on every turn. triggerTurn: true lets a material steer resume an idle Main session.

Completion criterion

Complete only when setup returns a supervisor with both events, read-only native tools, triggerTurn: true, and no recreation warning. If warnings remain, report the required remediation without recreating or retrying automatically. Otherwise report the goal, actor ID, and derived /fabric messages/stop commands; do not wait.

Changes

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.

  1. 4d ago Changed 6f7137b8026d
  2. 12d ago First seen · 38 lines · 36 tokens per session scan A 1b1c5445bc96

Subscribe to this mod's changes

fabric-supervisor is a skill published in the GitHub repository monotykamary/pi-fabric (210 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 434 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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