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 NOMARJ/sigil --skill sigil-scangit clone --depth 1 https://github.com/NOMARJ/sigilWrote 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/nomarj/sigil/sigil-scan)<a href="https://agentmods.dev/skills/nomarj/sigil/sigil-scan"><img src="https://agentmods.dev/badge/skills/nomarj/sigil/sigil-scan.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 | $0.00173 | $0.01925 |
| Opus 5 | $0.00086 | $0.00962 |
| Sonnet 5 | $0.00035 | $0.00385 |
| Haiku 4.5 | $0.00017 | $0.00193 |
Grade B, and why
sigil-scan scanned grade B 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 2d 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.
Reaches for credential filesmediumPrivilege escalation
SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.
- Home directory credential files (`~/.aws/credentials`, `~/.ssh/id_rsa`, `~/.kube/config`, etc.) for insecure permissions Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sigil Security Scanner
Sigil provides eight-phase security analysis purpose-built for AI agent code. It detects install hooks, dangerous code patterns, network exfiltration, credential access, obfuscation, provenance issues, prompt injection attacks, and AI skill security threats.
All file paths in this document are relative to this skill's directory (the directory containing SKILL.md).
When to Activate
Invoke this skill in ANY of these situations:
- Before cloning any repository with
git clone - Before installing any package with
pip installornpm install - When the user asks to "scan", "audit", "check", or "review" code
- When the user asks "is this safe?" or "is this malicious?"
- When reviewing MCP server configurations
- When the user mentions supply chain security, dependency auditing, or code safety
- When any unfamiliar repo, package, or skill is about to be used
Setup
Before first use, verify the Sigil CLI binary is installed:
bash scripts/setup.sh
Parse the JSON stdout. On success: {"installed": true, "version": "...", "path": "..."}. On failure: {"error": true, "message": "..."}. If setup fails, present the error to the user and suggest manual installation: brew install nomarj/tap/sigil, npm install -g @nomarj/sigil, or cargo install sigil-cli.
Core Scan
To scan any target, run:
bash scripts/scan.sh <target>
The <target> argument accepts:
- Local path:
/path/to/projector./src - GitHub URL:
https://github.com/owner/repo - GitHub shorthand:
owner/repo - npm package:
@scope/packageornpm:package-name - pip package:
pip:package-name - Any URL:
https://example.com/file.py
Output Format
The script outputs a single JSON object to stdout:
{
"verdict": "HIGH RISK",
"score": 37,
"target": "github.com/someone/sketchy-mcp-server",
"files_scanned": 142,
"duration_ms": 85,
"findings_count": 12,
"phases": {
"InstallHooks": { "findings": 2, "severity": "critical" },
"CodePatterns": { "findings": 5, "severity": "high" },
"NetworkExfil": { "findings": 1, "severity": "medium" },
"Credentials": { "findings": 3, "severity": "high" },
"Obfuscation": { "findings": 0, "severity": "clean" },
"Provenance": { "findings": 1, "severity": "low" },
"PromptInjection": { "findings": 0, "severity": "clean" },
"SkillSecurity": { "findings": 0, "severity": "clean" }
},
"findings": [
{
"phase": "InstallHooks",
"severity": "Critical",
"weight": 10,
"rule": "INSTALL-003",
"file": "package.json",
"line": 8,
"snippet": "postinstall script detected: node malicious.js"
}
]
}
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/PHASES.md 27 KB
- references/SCORING.md 2.4 KB
- references/TROUBLESHOOTING.md 3.0 KB
- scripts/_lib.sh 4.8 KB runs code
- scripts/audit-env.sh 8.4 KB runs code
- scripts/audit-skills.sh 6.7 KB runs code
- scripts/report.sh 4.9 KB runs code
- scripts/scan.sh 3.9 KB runs code
- scripts/setup.sh 6.9 KB runs code
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.
- 2d ago First seen · 174 lines · 173 tokens per session scan B 6dfac293dbf1
sigil-scan is a skill published in the GitHub repository NOMARJ/sigil (5 stars, last pushed yesterday), licensed Apache-2.0. It adds 173 tokens to every session and 1,925 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it B with 1 finding (reaches for credential files). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
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