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/runxhq/runx/openapi-graphnpx skills add runxhq/runx --skill openapi-graphgit clone --depth 1 https://github.com/runxhq/runxWhat 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 | $0.00025 | $0.00243 |
| Opus 5 | $0.00013 | $0.00121 |
| Sonnet 5 | $0.00005 | $0.00049 |
| Haiku 4.5 | $0.00003 | $0.00024 |
Grade A, and why
openapi-graph 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 2d 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
OpenAPI graph
A single-step graph that drives the OpenAPI external-adapter sub-skill. The
runtime routes the graph step's external-adapter source through the
source-adapter registry to the external-adapter executor, which spawns the
declared adapter process. The adapter resolves an OpenAPI operation
into a concrete HTTP request and the runtime seals it. Its manifest declares a
required network scope because the adapter performs the outbound fetch.
This is the concrete proof that the core runs from other specs, not just MCP.
Run examples/openapi-graph/run.sh to start the local fixture endpoint and fail
hard unless the graph state proves the GET executed and returned the expected
pet payload, and the receipt directory contains a signed runx.receipt.v1.
The inline harness case expects that fixture endpoint to be running. Use
run.sh for the hermetic demo entrypoint; bare runx harness examples/openapi-graph is only useful after starting server.mjs separately.
What ships with it
3 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.
- 2d ago First seen · 22 lines · 25 tokens per session scan A c3113a38fbab
openapi-graph is a skill published in the GitHub repository runxhq/runx (84 stars, last pushed 2d ago), licensed Apache-2.0. It adds 25 tokens to every session and 243 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 2026-08-30.
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