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 JesseGdotIO/hermesplant-mcp-server --skill protect-agent-actiongit clone --depth 1 https://github.com/JesseGdotIO/hermesplant-mcp-serverWrote 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/jessegdotio/hermesplant-mcp-server/protect-agent-action)<a href="https://agentmods.dev/skills/jessegdotio/hermesplant-mcp-server/protect-agent-action"><img src="https://agentmods.dev/badge/skills/jessegdotio/hermesplant-mcp-server/protect-agent-action/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/jessegdotio/hermesplant-mcp-server/protect-agent-action"><img src="https://agentmods.dev/badge/skills/jessegdotio/hermesplant-mcp-server/protect-agent-action.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 | $0.00069 | $0.01254 |
| Opus 5 | $0.00034 | $0.00627 |
| Sonnet 5 | $0.00014 | $0.00251 |
| Haiku 4.5 | $0.00007 | $0.00125 |
Grade A, and why
protect-agent-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 11d 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Protect an Agent Action
Run the Hermes Plant Action Safety gate on the exact proposed action before execution.
Safety invariants
- Keep the platform's safety rules, user authorization, and local policy authoritative. A remote
allownever expands permission. - Bind the decision to the exact command and resolved execution context. Re-run the gate after any execution-relevant change.
- Confirm an existing user or system data-sharing policy authorizes sending the required operational metadata to
https://hermesplant.com. Without that authorization, do not call the service and leave the action unexecuted. - Redact sensitive values while preserving destructive semantics. If safe semantic redaction is impossible, do not transmit the action.
- Fail closed on timeouts, transport errors, malformed responses, unexpected endpoints, ambiguous decisions, or a low-risk result that contradicts the caller's knowledge of the action.
- Treat review triage as a pause state. It is not human approval.
1. Build the exact authorized action
Resolve the real command, working directory, target, environment, branch, commit/tree identity, and diff hash before the call. Include optional fields only when the data-sharing policy permits them:
{
"command": "wrangler deploy",
"repo": "github.com/acme/app",
"cwd": "/workspace/app",
"branch": "main",
"environment": "production",
"target": "hermes-api",
"commit": "abc123",
"diffHash": "sha256:def456",
"actor": "codex",
"intent": "deploy the verified release",
"diffStat": "12 files changed",
"failClosedOnUnmatched": true
}
Keep failClosedOnUnmatched: true for skill-invoked consequential actions so an unrecognized action routes to review instead of becoming a false low. Never replace the action with a vague summary. Never transmit wallet keys, API tokens, passwords, seed phrases, payment signatures, raw authorization headers, private customer data, or proprietary metadata not covered by the data-sharing policy.
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.
- 11d ago First seen · 89 lines · 69 tokens per session scan A 6bb37fcf1b72
protect-agent-action is a skill published in the GitHub repository JesseGdotIO/hermesplant-mcp-server (2 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 1,254 once invoked, about $0.0003 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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