fusion-tea: Skill for Claude Code

.agents/skills/audit-models/SKILL.md

audit-models is a skill for Claude Code from 1cFE/fusion-tea. It costs 19 tokens per session (979 once invoked), scanned A, original, MIT.

A model-checking skill for SysML, a language used to describe systems, their parts, and how they work. It compares a SysML model with source documents, project requirements, and architecture decisions.

In plain words
What is it for?
It is for checking the accuracy and consistency of SysML models against agreed project information.
Why use it?
It helps find model details that do not match the information the project is based on. This reduces the chance of relying on an inaccurate system description.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool; mentions Claude Code; installed under .agents/ (shared by several agents).

This is 1cFE/fusion-tea's own configuration. It tells Claude Code how to work on fusion-tea itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything fusion-tea configures →

Reuse

Borrowing it

Nothing to install: this file belongs to 1cFE/fusion-tea. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/1cFE/fusion-tea/main/.agents/skills/audit-models/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/1cFE/fusion-tea

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 audit-models

README.md
[![agentmods](https://agentmods.dev/badge/skills/1cfe/fusion-tea/audit-models/github.svg)](https://agentmods.dev/skills/1cfe/fusion-tea/audit-models)
Your own site
<a href="https://agentmods.dev/skills/1cfe/fusion-tea/audit-models"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/audit-models/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 audit-models

Your own site · 80×15
<a href="https://agentmods.dev/skills/1cfe/fusion-tea/audit-models"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/audit-models.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 979 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.
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 $0.00019 $0.00979
Opus 5.5 $0.00008 $0.00392
Sonnet 5.5 $0.00004 $0.00196
Haiku 4.5 $0.00002 $0.00098

Measured 24d ago against content hash 8df15b2b2b73, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

audit-models 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 24d 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.

.agents/skills/audit-models/SKILL.md · 46 lines

How it starts

The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Before executing this skill, read .agentic-mbse/claude.md in Claude Code or .agentic-mbse/codex.md in Codex. Resolve supporting paths from this skill’s installed directory; keep generated outputs in the project or a temporary directory. Read referenced skills from .agents/skills/<name>/SKILL.md when their guidance is needed.

Audit Models

Use the assigned scope and “Review Brief and Context Limits” in modeling_project/MODELING_PROCESS.md. For a focused question, read only the supplied entry sections and primary evidence within the brief’s budget; return missing evidence before expanding. Apply the broader checks below only to claims in scope. Save a short finding in the existing work record or requested evidence path; a separate report is useful for a substantive assessment.

Independently assess whether the model supports its promised outcomes and intended use. Run as a fresh non-author reviewer without inherited author conversation. For a substantive audit, save work/analysis/YYYYMMDD-HHMMSS_audit_{scope}.md and link it from the work item or epic.

Choose the Scope

  • Work item audit: verify the spec outcomes, changed behavior, and affected dependencies/consumers. Read the plan's evidence and relevant design sections; expand where a finding requires it.
  • Epic audit: verify epic success criteria, item audit evidence, dependency handoffs, and cross-item integration. Positive item audits do not establish the integrated outcome by themselves.
  • Project audit: assess the requested broader system claims against project requirements, source evidence, and actual model coverage.

Use the already authorized scope or clarify what is to be assessed. State the examined revision, supported use, and evidence limits. A narrow audit must not read as certification of every parameter or engineering assumption.

Verify the Outcome

Read the four-view completion obligation and relevant architecture/pattern rules in modeling_project/MODELING_PROCESS.md, the applicable requirements and architectural decisions, and the implementation. Check the physical and behavioral relationships behind the calculations where they matter to the claim. Trace the affected claim through requirements, behavior, component occurrences/interfaces, analytical bindings, and verification evidence. Component ownership, interfaces, analytical bindings, and consumer interpretation must agree. Check that documented approximations still support the claim; an inventory of declarations does not establish this. When calculation wiring changes, inspect which occurrence each input resolves to and check that relevant public-input changes reach its consumers.

Read the full file on GitHub · 46 lines

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. 24d ago Changed · -7 lines 8df15b2b2b73
  2. 1mo ago First seen · 53 lines · 19 tokens per session scan A 5451715254ce

Subscribe to this mod's changes

audit-models is a skill published in the GitHub repository 1cFE/fusion-tea (5 stars, last pushed 24d ago), licensed MIT. It adds 19 tokens to every session and 979 once invoked, about $0.0001 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 2026-09-29.

Related

audit-models compared with skills from other repositories

audit-models next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
audit-models1cFE/fusion-teaSkill524d agoMITA19Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code