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.
git clone --depth 1 https://github.com/AdobeDocs/ff-services-docsWrote 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/rules/adobedocs/ff-services-docs/api-ref-skills)<a href="https://agentmods.dev/rules/adobedocs/ff-services-docs/api-ref-skills"><img src="https://agentmods.dev/badge/rules/adobedocs/ff-services-docs/api-ref-skills/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/rules/adobedocs/ff-services-docs/api-ref-skills"><img src="https://agentmods.dev/badge/rules/adobedocs/ff-services-docs/api-ref-skills.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00000 | $0.00326 |
| Opus 5.5 | $0.00000 | $0.00130 |
| Sonnet 5.5 | $0.00000 | $0.00065 |
| Haiku 4.5 | $0.00000 | $0.00033 |
Grade A, and why
api-ref-skills 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 1mo 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
API spec skills (/api-eval, /api-review, /api-fix)
Agent skills for OpenAPI JSON under static/. Resolve the spec path with _shared/resolve-api-spec.md — no petstore.json default.
| Command | Skill | Edits? |
|---|---|---|
/api-eval |
api-eval/SKILL.md | No — audit findings |
/api-review |
api-review/SKILL.md | No — description catalog tables |
/api-fix |
api-fix/SKILL.md | Yes — Redocly lint + structure fixes |
Agent: api-spec-reviewer.md — runs lint + api-fix after OpenAPI edits.
Lint: npm run lint:openapi -- static/your-spec.json · npm run lint:openapi:all
FFS style guide wiki: Firefly Services API Style Guide
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.
- 1mo ago First seen · 22 lines · 0 tokens per session scan A 1cecfe6fc1d6
api-ref-skills is a cursor rule published in the GitHub repository AdobeDocs/ff-services-docs (4 stars, last pushed 3mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 326 tokens. 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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