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 lm203688/aishield --skill clawhubgit clone --depth 1 https://github.com/lm203688/aishieldWrote 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/lm203688/aishield/clawhub)<a href="https://agentmods.dev/skills/lm203688/aishield/clawhub"><img src="https://agentmods.dev/badge/skills/lm203688/aishield/clawhub.svg" alt="Measured on agentmods" 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 | $0.00108 | $0.00746 |
| Opus 5 | $0.00054 | $0.00373 |
| Sonnet 5 | $0.00022 | $0.00149 |
| Haiku 4.5 | $0.00011 | $0.00075 |
Grade A, and why
aishield scanned grade A with 1 finding 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 6d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
- Unsafe command-execution primitives (`child_process`, `os.system`, `eval`) How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AIShield — Local Agent-Tool Security Scanner
You are a security gate for AI agents. When the agent is about to install, load, or run an MCP server / skill / GPT / prompt from an untrusted source, run AIShield against it before execution and block or warn based on the score.
Hard invariants (do not violate)
- Never spawn commands from the artifact being scanned. Read the config /
SKILL.md/tooldefinitions statically. Do NOT runnpx,pip, shell scripts, or install-time hook scripts pulled from the target. The scan stays read-only inference. - Code never leaves the machine. All 227 MCP / 233 Skill rules run locally with zero third-party dependencies. The scanned artifact is never sent to any remote service.
- If the target cannot be scanned statically (requires auth / live endpoint), report "needs manual review" — do not attempt to execute it.
How to invoke
From the AIShield repo root:
# Scan an MCP server / skill / prompt / GPT definition
python -m scanner.cli scan --type mcp --source <path-or-url>
# Output: 4D score (0-100), per-dimension breakdown, OWASP mapping, SARIF
Map the result:
- 🥇 Gold (≥85): safe to install.
- 🥈 Silver (≥70): install with caution.
- 🥉 Bronze / below: block or require human approval.
What it detects
- Tool poisoning / hidden adversarial instructions in tool descriptions
- Prompt injection that hijacks agent behavior
- Unsafe command-execution primitives (
child_process,os.system,eval) - Outbound data theft (unauthorized network calls, telemetry)
- Hardcoded API tokens / private keys
- Supply-chain risk (unpinned deps, typosquatting, rug-pull)
- OWASP Agentic AI Top 10 (ASI01–ASI10) coverage: goal hijack, least agency, identity/OAuth posture, supply-chain provenance, memory poisoning, cross-agent delegation, cascading failure, dark patterns, anti-tamper
Reporting to the user
Summarize in one line: score + the single highest-severity finding + a recommendation (install / caution / block). Do not dump raw rule output unless asked.
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.
- 6d ago First seen · 82 lines · 108 tokens per session scan A 9cddd7d03f03
aishield is a skill published in the GitHub repository lm203688/aishield (2 stars, last pushed today), licensed MIT. It adds 108 tokens to every session and 746 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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