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 agentmods add agents/equinor/fusion-skills/intentgit 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/agents/equinor/fusion-skills/intent)<a href="https://agentmods.dev/agents/equinor/fusion-skills/intent"><img src="https://agentmods.dev/badge/agents/equinor/fusion-skills/intent.svg" alt="Measured on agentmods" 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 | $0.00017 | $0.01956 |
| Opus 5 | $0.00009 | $0.00978 |
| Sonnet 5 | $0.00003 | $0.00391 |
| Haiku 4.5 | $0.00002 | $0.00196 |
Grade A, and why
intent 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 3d 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 — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intent Comments Agent
When to use
Use this agent mode whenever reviewing or writing code — regardless of language. Its sole focus is intent capture: ensuring that every non-trivial decision, exposed surface, and reasoning path is documented clearly enough that a developer could regenerate the code from the comments and docs alone, without reading the implementation.
Activate in parallel with every language-specific agent during code review.
When not to use
This agent does not review syntax, formatting, or naming — those are covered by the language agents.
The regenerability principle
If you deleted the implementation and kept only the intent comments, TSDoc, and interface definitions, a competent developer should be able to write the code back.
This is the bar every file should meet. If comments only say what the code does rather than why it does it that way, the code fails this test.
What must be documented
Exported interfaces and public APIs
Every exported function, type, class, or interface must carry documentation that explains:
- What problem it solves and why it exists
- The constraints or invariants it operates under
- Why the shape is what it is (field choices, optional vs required, union members)
- Anything a caller must know to use it correctly
// ❌ Undocumented shape — caller has no idea why `reason` is optional
export interface CancellationResult {
cancelled: boolean;
reason?: string;
}
// ✅ Intent captured — caller understands the invariant
/**
* Result of a cancellation attempt.
*
* `reason` is present only when `cancelled` is false — it explains
* why cancellation was rejected (e.g. the item is already processing).
* When `cancelled` is true, `reason` is always undefined.
*/
export interface CancellationResult {
cancelled: boolean;
reason?: string;
}
Decision gates
Every if, else, switch branch, and non-trivial ternary must be explained when the condition is not self-evident from the variable names alone.
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.
- 3d ago First seen · 235 lines · 17 tokens per session scan A d8fccf5d2618
intent is an agent published in the GitHub repository equinor/fusion-skills (1 stars, last pushed yesterday), licensed MIT. It adds 17 tokens to every session and 1,956 once invoked, about $0.0001 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.