Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/davidmigloz/ai_clients_dartnpx agentmods add skills/davidmigloz/ai_clients_dart/openapi-anthropicWrote 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/davidmigloz/ai_clients_dart/openapi-anthropic)<a href="https://agentmods.dev/skills/davidmigloz/ai_clients_dart/openapi-anthropic"><img src="https://agentmods.dev/badge/skills/davidmigloz/ai_clients_dart/openapi-anthropic/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/davidmigloz/ai_clients_dart/openapi-anthropic"><img src="https://agentmods.dev/badge/skills/davidmigloz/ai_clients_dart/openapi-anthropic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00033 | $0.00709 |
| Opus 5 | $0.00016 | $0.00354 |
| Sonnet 5 | $0.00007 | $0.00142 |
| Haiku 4.5 | $0.00003 | $0.00071 |
Grade A, and why
openapi-anthropic 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 12d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anthropic OpenAPI Workflow
Prerequisites
- Auth: No auth env vars required.
- CLI:
python3 .agents/shared/api-toolkit/scripts/api_toolkit.py - Existing-package commands: run the repo-relative examples from the repository root. If you run them elsewhere, invoke the script via an absolute path and pass an absolute
--config-dir.
Workflow
- Fetch:
python3 .agents/shared/api-toolkit/scripts/api_toolkit.py fetch --config-dir packages/anthropic_sdk_dart/.agents/skills/openapi-anthropic/config
Fetch writes the candidate spec to the configured output_dir as latest-<spec>.json.
2. Review:
python3 .agents/shared/api-toolkit/scripts/api_toolkit.py review --config-dir packages/anthropic_sdk_dart/.agents/skills/openapi-anthropic/config
- Implement with
scaffoldplus the package references, then promote the spec and update the pin:- Copy the candidate into the package:
cp /tmp/openapi-anthropic-dart/latest-main.json packages/anthropic_sdk_dart/specs/openapi.yaml(the canonical spec is JSON despite the.yamlextension). - Update
pinned_hashinconfig/specs.jsonto the new spec hash (visible in the fetch output'slatest_hashfield). If you skip this, the nextfetchwill still reportoutdated: true.
- Copy the candidate into the package:
- Verify:
python3 .agents/shared/api-toolkit/scripts/api_toolkit.py verify --config-dir packages/anthropic_sdk_dart/.agents/skills/openapi-anthropic/config --checks all --scope all
Specs
| Spec | Description |
|---|---|
main |
Anthropic API for Claude models |
Package References
Documentation Artifacts
After implementation and before opening a PR, update documentation to reflect new types:
- Example — add an
example/<feature>_example.dartif the change introduces a new tool, content block type, or API surface. Follow the pattern of existing examples (e.g.,web_search_example.dart). Verify withdart analyze. - README — update
README.md:- Features section: mention the new capability in the relevant bullet.
- Examples table: add a row for the new example file.
- llms.txt — regenerate with the toolkit so the new example is indexed with its token count:
python3 .agents/shared/api-toolkit/scripts/api_toolkit.py generate-llms-txt \ --config-dir packages/anthropic_sdk_dart/.agents/skills/openapi-anthropic/config
What ships with it
8 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.
- 12d ago First seen · 67 lines · 33 tokens per session scan A acdf1667506c
openapi-anthropic is a skill published in the GitHub repository davidmigloz/ai_clients_dart (24 stars, last pushed 3d ago), licensed MIT. It adds 33 tokens to every session and 709 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 2026-08-30.
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