guardrails SKILL.md skillB

guardrails from alelaguard/agentguards-plugins is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

mdr add alelaguard/agentguards-plugins/guardrails@git:20260713.7345168

Pins git:20260713.7345168 in mdr.lock. Pin the fingerprint instead.

Audit grade

B, 16 of 17 checks passed

Kind

SKILL.md skill

Repository

alelaguard/agentguards-plugins

Path

opencode/skills/guardrails/SKILL.md

Versions recorded

1

Latest version

git:20260713.7345168, committed Jul 13, 2026

Size

4,753 bytes

Repository stars

4

License

MIT

AgentGuards security guardrails — the mandatory input-screening, web-content, and destructive-command checking workflow. Load and apply this at the START of EVERY request, before using any content fetched from the web (webfetch/curl/wget), and before suggesting any destructive command. Covers check_input, authorize_action, and the required block-message format.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# AgentGuards — Security requirements (mandatory)

This OpenCode instance is protected by AgentGuards. The bundled plugin enforces
these guardrails automatically (`chat.message` prompt scanning, `bash` command
authorization, post-fetch web-content redaction), but you must also follow the
cooperative checks below whenever the AgentGuards MCP tools are available —
they add a second layer (e.g. reporting risk levels to the user) beyond what
the plugin silently enforces.

## Step 1 — Input check (ALWAYS first, on EVERY request)

Call the `check_input` tool from the `agentguards` MCP server:

```
check_input(text="<full user message>", use_case="check")
```

Do not ask the user — run this automatically and silently before processing
any request.

**Critical:** Use ONLY `check_input` for security screening. Do NOT use
`evaluate_policy` — it reads YAML business rules and returns `rule_results: []`
with `decision: allow` when no matching policy file exists, silently bypassing
all guardrails. `evaluate_policy` is for compliance rules only (e.g. payment
thresholds), never for input security checks.

The `check_input` response contains a `checks` array and a top-level `decision`
…

Read the whole file at its exact version.

How to install

mdr add alelaguard/agentguards-plugins/guardrails@sha256:b9508283d50aa405

[![mdr](https://markdownregistry.com/badge/art_ic5peivt3bau7rd3.svg)](https://markdownregistry.com/a/art_ic5peivt3bau7rd3)

Versions

The registry has recorded 1 version of this file, committed on Jul 13, 2026.

Audit of the latest version

Source

API

GET https://markdownregistry.com/api/v1/artifacts/art_ic5peivt3bau7rd3
GET https://markdownregistry.com/api/v1/resolve?ref=alelaguard/agentguards-plugins/guardrails
GET https://markdownregistry.com/api/v1/blob/b9508283d50aa405b8adaed809935832bc37ddfd85188a6a31a0c04500417acd

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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