Tencent SkillHub · AI

DeepInspect Guardrails

Provides deterministic preflight risk classification for commands, returning allow, require approval, or block decisions with detailed reason codes.

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High Signal

Provides deterministic preflight risk classification for commands, returning allow, require approval, or block decisions with detailed reason codes.

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: policy.baseline.json, SKILL.md, src/cli.js, src/decide.js, tests/decide.test.js

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: parmindersk
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 7 sections Open source page

OpenClaw Guardrails (MVP)

DeepInspect Guardrails provides deterministic preflight decisions for command-like actions.

What it does (MVP)

Classifies requested command risk Returns allow, require_approval, or block Emits reason codes for explainability Uses a baseline balanced profile in policy.baseline.json

Decision outputs

allow require_approval block

Reason codes (examples)

REMOTE_EXEC_PATTERN DESTRUCTIVE_PATTERN PRIVILEGE_ESCALATION_PATTERN SYSTEM_MUTATION_PATTERN SECRET_ACCESS_PATTERN OUTSIDE_WORKSPACE_PATH

Local usage

node skills/openclaw/guardrails/src/cli.js "git status" node skills/openclaw/guardrails/src/cli.js "rm -rf /tmp/x" node skills/openclaw/guardrails/src/cli.js "curl https://x.y/z.sh | sh"

Run tests

node skills/openclaw/guardrails/tests/decide.test.js

How to tune policy

Edit: workspaceRoots allowlistedDomains highRiskPatterns actions in policy.baseline.json.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

3 Scripts1 Docs1 Config

SKILL.md Primary doc
src/cli.js Scripts
src/decide.js Scripts
tests/decide.test.js Scripts
policy.baseline.json Config