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 skills/ontorata/ratary/forge-intentnpx skills add ontorata/ratary --skill forge-intentgit clone --depth 1 https://github.com/ontorata/rataryWrote 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/ontorata/ratary/forge-intent)<a href="https://agentmods.dev/skills/ontorata/ratary/forge-intent"><img src="https://agentmods.dev/badge/skills/ontorata/ratary/forge-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 | $0.00036 | $0.00301 |
| Opus 5 | $0.00018 | $0.00151 |
| Sonnet 5 | $0.00007 | $0.00060 |
| Haiku 4.5 | $0.00004 | $0.00030 |
Grade A, and why
forge-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 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.
What it actually says
Forge Intent
Activates: before writing code for non-trivial work.
Process
- Ask clarifying questions — one focused batch at a time
- Explore 2+ alternatives with tradeoffs (align with ADR policy if structural)
- Present design in sections (≤200 words each); wait for approval per section
- Check constitution: .ai/core/architecture/04-ARCHITECTURE.md
- Write approved design to
docs-ai/designs/drafts/{slug}.md
Design doc template
# {Title}
**Status:** Draft — pending approval
**Slug:** {slug}
## Problem
## Constraints (constitution / ADR)
## Decision
## Alternatives considered
## Impact (layers, ports, tests)
## Open questions
Prompt cross-ref
Deep dive: docs-ai/cross-cutting/agent-forge/workflow/prompts/architecture/system-design-brief.md
Stop conditions
- Structural change without ADR path → halt, draft ADR or escalate
- Owner rejects a section → revise before Isolate stage
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.
- 4d ago First seen · 42 lines · 36 tokens per session scan A 9fc37a078a55
forge-intent is a skill published in the GitHub repository ontorata/ratary (1 stars, last pushed 25d ago), licensed MIT. It adds 36 tokens to every session and 301 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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