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.
git clone --depth 1 https://github.com/sherpa-sh/Sherpa-ActionWrote 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/commands/sherpa-sh/sherpa-action/build)<a href="https://agentmods.dev/commands/sherpa-sh/sherpa-action/build"><img src="https://agentmods.dev/badge/commands/sherpa-sh/sherpa-action/build/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/commands/sherpa-sh/sherpa-action/build"><img src="https://agentmods.dev/badge/commands/sherpa-sh/sherpa-action/build.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 | $0.00012 | $0.00109 |
| Opus 5.5 | $0.00005 | $0.00044 |
| Sonnet 5.5 | $0.00002 | $0.00022 |
| Haiku 4.5 | $0.00001 | $0.00011 |
Grade A, and why
build 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 1mo 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
If (.sherpa.sh/build-info.md doesn't exist) { run the plugin command /Sherpa/detect-build-info }
Else {
Use the info in .sherpa.sh/build-info.md and the lastest file in .sherpa.sh/executionlog to build the project.
Examine the build commands in the executionlog. Decide if you should just repeat them. Usually, you want to repeat them.
}
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.
- 1mo ago First seen · 9 lines · 12 tokens per session scan A 1d9c39dc5f83
build is a command published in the GitHub repository sherpa-sh/Sherpa-Action (22 stars, last pushed 9mo ago), licensed Apache-2.0. It adds 12 tokens to every session and 109 once invoked, about $0.0000 per session on Opus 5.5. 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.
Other commands, from other repositories
verify-upgrade
Verify Spring Boot project upgrade readiness with parallel multi-skill analysis.
commit
Context-aware Git commit assistant with smart pre-commit checks.
gh-release
Create a new release for the marketplace or a specific plugin.
gh-security-review
Use to perform a dedicated security review of current branch changes before pushing.
gh-setup
Use to set up or update gh-workflow in a repository - analyzes tech stack, detects conventions, generates workflow configuration, and upgrades existing installations to latest version.
oma-platform-review
A command that reviews an existing AI-agent platform deployment for GPU capacity, monitoring coverage, gateway safety checks, unusual costs, and security weaknesses. It saves a diagnostic report and suggested improvements to a state file.