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 equinor/fusion-skills --skill fusion-rule-authorgit clone --depth 1 https://github.com/equinor/fusion-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/equinor/fusion-skills/fusion-rule-author)<a href="https://agentmods.dev/skills/equinor/fusion-skills/fusion-rule-author"><img src="https://agentmods.dev/badge/skills/equinor/fusion-skills/fusion-rule-author/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/equinor/fusion-skills/fusion-rule-author"><img src="https://agentmods.dev/badge/skills/equinor/fusion-skills/fusion-rule-author.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00037 | $0.02571 |
| Opus 5 | $0.00018 | $0.01286 |
| Sonnet 5 | $0.00007 | $0.00514 |
| Haiku 4.5 | $0.00004 | $0.00257 |
Grade A, and why
fusion-rule-author 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rule Author
Canonical workflow, templates, and references for authoring AI coding assistant rules. Supports GitHub Copilot, Cursor, and Claude Code.
Internal skill. Users interact via the
fusion-rulesgateway, which routes to editor-specific agents that follow the workflow defined here.
Scope
This skill provides:
- Workflow (Steps 1–7 below) — the guided authoring process
- Templates (
assets/) — starter files for each editor format - References (
references/) — tech-stack examples
It does not provide agents. Agents live in fusion-rules/agents/ and reference this skill's assets and workflow.
Required inputs
Mandatory
- Repository context (working directory or repo URL)
Gathered during interview
- Tech stack (languages, frameworks, build tools)
- Code conventions (naming, formatting, patterns)
- Testing expectations (framework, coverage, style)
- Documentation preferences (comments, TSDoc/JSDoc, README standards)
- Commit and PR conventions
- Error handling patterns
- Security or compliance constraints
- File/path-specific conventions that need scoped rules
Instructions
Step 1 — Assess current state
Check the repository for existing rule files:
.github/copilot-instructions.md
.github/instructions/*.instructions.md
.cursor/rules/*.md
.cursor/rules/*.mdc
.cursor/rules/**/*.md
.cursor/rules/**/*.mdc
CLAUDE.md
.claude/CLAUDE.md
.claude/rules/*.md
.claude/rules/**/*.md
Report what exists, what is missing, and whether updates or new files are needed.
Step 2 — Scan repository
Before interviewing, scan for existing documentation and configuration that encodes conventions. Extract actionable directives from:
Documentation files:
README.md— project overview, setup, tech stackCONTRIBUTING.md— code style, PR workflow, commit conventionsAGENTS.md,CLAUDE.md— existing AI instructionsdocs/adr/**,adr/**,docs/decisions/**— Architecture Decision Recordsdocs/**/*.md— developer guides, onboarding docs, style guidesSECURITY.md— security policiesCODE_OF_CONDUCT.md— collaboration guidelines (rarely rule-relevant)
What ships with it
9 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.
- assets/claude-rule-template.md 1.1 KB
- assets/copilot-instructions-template.md 410 B
- assets/creation-follow-up.md 3.8 KB
- assets/cursor-rule-template.mdc 745 B
- assets/frontmatter-scenarios.md 5.7 KB
- assets/quality-checklist.md 3.5 KB
- assets/scoped-rule-template.md 882 B
- CHANGELOG.md 843 B
- references/examples.md 7.6 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.
- 11d ago First seen · 251 lines · 37 tokens per session scan A dabc7eb8c3b6
fusion-rule-author is a skill published in the GitHub repository equinor/fusion-skills (1 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 2,571 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 2026-08-31.
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