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/joy7758/titmas-agent-action-gate/execute-github-actionnpx skills add joy7758/titmas-agent-action-gate --skill execute-github-actiongit clone --depth 1 https://github.com/joy7758/titmas-agent-action-gateWrote 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/joy7758/titmas-agent-action-gate/execute-github-action)<a href="https://agentmods.dev/skills/joy7758/titmas-agent-action-gate/execute-github-action"><img src="https://agentmods.dev/badge/skills/joy7758/titmas-agent-action-gate/execute-github-action.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 | $0.00025 | $0.00287 |
| Opus 5 | $0.00013 | $0.00143 |
| Sonnet 5 | $0.00005 | $0.00057 |
| Haiku 4.5 | $0.00003 | $0.00029 |
Grade A, and why
execute-github-action 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 3d 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
Execute exact GitHub action
Status: EXPERIMENTAL_REFERENCE_IMPLEMENTATION_NO_AUTONOMOUS_AGENT_AUTHORITY.
Inputs
- server-side decision reference, never model-pasted decision content;
- exact provider action, target, parameters, and idempotency key;
- provider identity and ACL managed outside prompts.
Output
One append-only execution-attempt receipt including provider response data, timestamps, bound decision ID, and redacted metadata.
Required procedure
- Fetch and verify signature, expiry, outcome, exact binding, and unconsumed state.
- Atomically consume the decision for one attempt.
- Invoke only the bound allowlisted provider tool.
- Capture success or failure without secrets.
- Generate post-execution evidence for independent verification.
Stop conditions
Stop on any mismatch, replay, expiry, unavailable gate, provider ACL failure, parameter expansion, or request to merge/tag/release under a PR-create decision. The manifest keeps may_execute=false because the Worker has no autonomous authority; the separate service/provider boundary consumes a valid decision and provider ACL for one attempt.
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.
- 3d ago First seen · 32 lines · 25 tokens per session scan A f3d5ebcb1e9f
execute-github-action is a skill published in the GitHub repository joy7758/titmas-agent-action-gate (0 stars, last pushed 11d ago), licensed Apache-2.0. It adds 25 tokens to every session and 287 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 2026-08-31.
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