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 joy7758/titmas-agent-action-gate --skill analyze-action-requestgit 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/analyze-action-request)<a href="https://agentmods.dev/skills/joy7758/titmas-agent-action-gate/analyze-action-request"><img src="https://agentmods.dev/badge/skills/joy7758/titmas-agent-action-gate/analyze-action-request/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/joy7758/titmas-agent-action-gate/analyze-action-request"><img src="https://agentmods.dev/badge/skills/joy7758/titmas-agent-action-gate/analyze-action-request.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 | $0.00024 | $0.00252 |
| Opus 5 | $0.00012 | $0.00126 |
| Sonnet 5 | $0.00005 | $0.00050 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
analyze-action-request 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 9d 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
Analyze action request
Inputs
- original request and source reference;
- authenticated caller and AgentTeams correlation IDs;
- current action taxonomy and request schema.
Output
A candidate action-request.v0.1 object plus unresolved uncertainty. Compute parameters_sha256 from canonical parameters; do not invent missing target, credential, policy, evidence, approval, or success facts.
Procedure
- Separate requested outcome from the exact external action.
- Name provider, repository, resource reference, and parameters.
- Preserve unknowns in
uncertainty. - List evidence requirements as proposals for deterministic policy evaluation.
- Validate the schema and submit it through
submit_action_request.
Stop conditions
Stop on ambiguous target, unsupported action, secrets in input, identity conflict, or a request to treat analysis as permission. This Skill may propose a request; it never decides, approves, executes, releases, certifies, or submits.
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.
- 9d ago First seen · 30 lines · 24 tokens per session scan A eabc382d9c0d
analyze-action-request is a skill published in the GitHub repository joy7758/titmas-agent-action-gate (0 stars, last pushed 18d ago), licensed Apache-2.0. It adds 24 tokens to every session and 252 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.
Other skills, from other repositories
pull-request-review
Use for a GitHub pull request review run to inspect the exact head revision, changed files, and checks, then publish one evidence-backed managed review comment without approving or modifying the pull request.
repository-triage
Use when a new GitHub issue or failed workflow enters RepoPilot and you must classify, deduplicate, assess risk, define acceptance criteria, and produce an execution DAG before delegating work.
root-cause-localization
Use after triage to reproduce a repository failure, locate the smallest supported root cause, analyze impact, and return evidence without changing files.
runbook-archival
Use after verification to convert a completed or failed maintenance run into a deduplicated, reusable Runbook linked to evidence and the exact repository revision.
safe-patch-authoring
Use only after a root cause is evidenced to create the smallest patch, focused tests, a dedicated branch and commit, and optionally a pull request under the pullrequestonly policy.
multi-agent-governance
Use this skill when building, managing, or auditing multi-agent AI systems. Provides governance patterns for behavioral enforcement, drift detection, audit trails, role management, and accountability across autonomous AI agents. Compatible with any orchestration framework.