skill-install-trust-verifier

OpenClaw skill for governed agent workflows.

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---

name: skill-install-trust-verifier

description: OpenClaw skill for governed agent workflows.

---

skill-install-trust-verifier

**Version:** 1.0.0

**Category:** security

**Author:** Iceman / GetAgentIQ.ai

**Build date:** 2026-05-27

What It Does

Performs a pre-install trust check for OpenClaw marketplace skills. Scans skill files for risk patterns (shell execution, network calls, credential reads, prompt injection, config/cron mutation) and scores trust signals (SKILL.md present, self-test documented, safety note, restore point reference, stdlib-only).

Returns INSTALL_OK / REVIEW_BEFORE_INSTALL / DO_NOT_INSTALL recommendation.

Who It's For

→ OpenClaw users who want to vet marketplace skills before installation (addresses documented community concern about junk/malicious uploads)

→ Security-conscious operators running managed OpenClaw deployments

→ Teams with strict change-control requirements before adding new skills

Usage

```bash

python3 scripts/skill_install_trust_verifier.py --target /path/to/skill-directory --json

python3 scripts/skill_install_trust_verifier.py --self-test --json

```

Output

JSON fields: `ok`, `recommendation`, `risk_score`, `trust_score`, `trust_signals`, `files_scanned`, `findings`, `next_steps`.

QA Retest Fixture

```bash

python3 -m py_compile scripts/skill_install_trust_verifier.py

python3 scripts/skill_install_trust_verifier.py --self-test --json

python3 scripts/skill_install_trust_verifier.py --target skills/upgrade-risk-preflight-checker --json

```

Expected: self-test `ok=true`; clean skill target `recommendation=INSTALL_OK`.

Safety

Read-only, stdlib-only, no network, no subprocess, no shell execution, no secret values printed in findings. Nosec annotations on detector-definition lines only; runtime scanner behavior preserved.

Restore point

Create a restore point before installing in any production workspace.

Release evidence

Reviewed in the 2026-06-15 GetAgentIQ warehouse propagation cycle.