secureclaw

A security toolkit for OpenClaw agents, covering rules and automated checks for common AI, application, and supply-chain risks.

In plain words
What is it for?
Use it for security audits, credential protection, skill and dependency scanning, privacy checks, and incident response.
Why use it?
It brings security checks for credentials, privacy, installed skills, and agent incidents into one workflow.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/adversa-ai/secureclaw/skill
Any agent
npx skills add adversa-ai/secureclaw --skill skill
Clone the repo
git clone --depth 1 https://github.com/adversa-ai/secureclaw

Made for: Claude Code, Codex.

Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,495 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 3 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00095 $0.01495
Opus 5 $0.00048 $0.00747
Sonnet 5 $0.00019 $0.00299
Haiku 4.5 $0.00010 $0.00150

Measured 3d ago against content hash 616f9d5ae63c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

secureclaw scanned grade B with 3 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 3d ago.

The scan reads SKILL.md. This mod also ships 9 executable files (scripts/check-advisories.sh, scripts/check-integrity.sh, scripts/check-privacy.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Asks for rootlowPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

eval/exec, chmod 777, credential access, mass email/message sends,

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Recursive force deletemediumDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

2. Before executing destructive or sensitive commands (rm -rf, curl|sh,

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

2. Before executing destructive or sensitive commands (rm -rf, curl|sh,
secureclaw/skill/SKILL.md · 125 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. 3d ago First seen · 125 lines · 95 tokens per session scan B 616f9d5ae63c

Subscribe to this mod's changes

secureclaw is a skill published in the GitHub repository adversa-ai/secureclaw (347 stars, last pushed 4mo ago), with no licence file. It adds 95 tokens to every session and 1,495 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 3 findings (asks for root, recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.