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 vadimcomanescu/codex-skills --skill api-integration-specialistgit clone --depth 1 https://github.com/vadimcomanescu/codex-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/vadimcomanescu/codex-skills/api-integration-specialist)<a href="https://agentmods.dev/skills/vadimcomanescu/codex-skills/api-integration-specialist"><img src="https://agentmods.dev/badge/skills/vadimcomanescu/codex-skills/api-integration-specialist.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 5.1 | $0.00064 | $0.00353 |
| Opus 5 | $0.00032 | $0.00177 |
| Sonnet 5 | $0.00013 | $0.00071 |
| Haiku 4.5 | $0.00006 | $0.00035 |
Grade A, and why
api-integration-specialist scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
API Integration Specialist
Build reliable integrations with clear auth, error handling, and rate limit safety.
Quick Start
- Read the provider’s auth + rate limit docs.
- Design a thin client with retries and typed errors.
- Transform provider payloads to internal models at the boundary.
- Add tests: happy path, auth failure, rate limit, and server error.
Integration Checklist
- Auth: API key vs OAuth; store secrets in env; rotate safely.
- Errors: map status codes to typed errors; include response body.
- Retries: exponential backoff on 429/5xx; respect
Retry-After. - Webhooks: verify signatures; idempotency; replay-safe handlers.
- Pagination: cursor/offset; avoid unbounded loops.
- Timeouts: set sane timeouts per call.
Boundary Pattern (example)
async function request(path, init) {
const res = await fetch(`${baseUrl}${path}`, init);
if (!res.ok) throw new ApiError(res.status, await res.json());
return res.json();
}
Guardrails
- Never log secrets.
- Keep provider-specific logic at the boundary.
- When requirements are unclear, ask for target SLAs and expected volume.
References
- Extended examples:
references/examples.md
What ships with it
2 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.
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.
- 8d ago First seen · 41 lines · 64 tokens per session scan A 82109b6b3176
api-integration-specialist is a skill published in the GitHub repository vadimcomanescu/codex-skills (24 stars, last pushed 7mo ago), licensed MIT. It adds 64 tokens to every session and 353 once invoked, about $0.0003 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 2026-08-30.
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