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 WRG-11/wrg-sigma-rules --skill sigma-rule-writergit clone --depth 1 https://github.com/WRG-11/wrg-sigma-rulesWrote 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/wrg-11/wrg-sigma-rules/sigma-rule-writer)<a href="https://agentmods.dev/skills/wrg-11/wrg-sigma-rules/sigma-rule-writer"><img src="https://agentmods.dev/badge/skills/wrg-11/wrg-sigma-rules/sigma-rule-writer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/wrg-11/wrg-sigma-rules/sigma-rule-writer"><img src="https://agentmods.dev/badge/skills/wrg-11/wrg-sigma-rules/sigma-rule-writer.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00024 | $0.00174 |
| Opus 5 | $0.00012 | $0.00087 |
| Sonnet 5 | $0.00005 | $0.00035 |
| Haiku 4.5 | $0.00002 | $0.00017 |
Grade A, and why
sigma-rule-writer scanned grade A with 0 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 today.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Sigma Rule Writer
Use the wrg-sigma-rules MCP server's draft_rule tool for a scaffold and
immediately call validate_rule on the emitted YAML. Ask only for missing
behaviour, telemetry/logsource, target platform, MITRE technique, severity,
or source reference.
Do not present a scaffold as deployable. Surface every validator warning,
especially placeholder false-positive text, REPLACE_ME markers, missing
references, and missing ATT&CK tags. If a SIEM conversion is requested, use
convert_rule; for Windows/Sysmon rules pass the sysmon pipeline. Save a
rule only when the user names a destination path.
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.
- today Changed · -132 lines · -94 tokens per session 0ed45e122c83
- 11d ago First seen · 150 lines · 118 tokens per session scan A f94836f54a12
sigma-rule-writer is a skill published in the GitHub repository WRG-11/wrg-sigma-rules (2 stars, last pushed yesterday), licensed MIT. It adds 24 tokens to every session and 174 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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