The OWASP Cheat Sheet Series is a collection of concise guidance on application-security practices and specific security topics. It helps software builders design and maintain more secure applications. Its catalogue add-ons provide agents with ways to reference and apply this security guidance.
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.
git clone --depth 1 https://github.com/OWASP/CheatSheetSeriesWrote 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/agents/owasp/cheatsheetseries/cheatsheet-language-reviewer)<a href="https://agentmods.dev/agents/owasp/cheatsheetseries/cheatsheet-language-reviewer"><img src="https://agentmods.dev/badge/agents/owasp/cheatsheetseries/cheatsheet-language-reviewer/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/agents/owasp/cheatsheetseries/cheatsheet-language-reviewer"><img src="https://agentmods.dev/badge/agents/owasp/cheatsheetseries/cheatsheet-language-reviewer.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 | $0.00048 | $0.00635 |
| Opus 5.5 | $0.00019 | $0.00254 |
| Sonnet 5.5 | $0.00010 | $0.00127 |
| Haiku 4.5 | $0.00005 | $0.00064 |
Grade A, and why
cheatsheet-language-reviewer 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 13d 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.
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.
The source is not reproduced here
Licensed CC-BY-SA-4.0
The repository is licensed CC-BY-SA-4.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 13d ago Changed bd6ee665f59d
- 1mo ago First seen · 48 lines · 48 tokens per session scan A 8ecbc0d5523a
cheatsheet-language-reviewer is an agent published in the GitHub repository OWASP/CheatSheetSeries (33,647 stars, last pushed yesterday), licensed CC-BY-SA-4.0. It adds 48 tokens to every session and 635 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
Other agents, from other repositories
appsec-threat-renderer
INTERNAL renderer for Stage 2 of create-threat-model. Invoke only from the skill after Stage 1 has produced validated intermediate artifacts.
appsec-triage-validator
INTERNAL — controller-dispatched cross-component threat triage; validates rating consistency and prioritization, writes .triage-flags.json, and annotates .threats-merged.json.
appsec-stride-analyzer-v2
INTERNAL context-v2 — bounded STRIDE for one component.
appsec-trust-boundary-analyst
INTERNAL — dedicated Stage-1b analyst. Assesses deterministic crossing signals in a fresh context and writes only untrusted trust-boundary candidates and explicit signal dispositions.
appsec-actor-discoverer
INTERNAL — controller-dispatched actor discovery after config/IaC scanning and before architecture modeling; writes .actors-discovered.json and is skipped in quick mode.
appsec-architecture-analyst
INTERNAL context-v2 role: convert validated recon and topology evidence into bounded architecture artifacts for Phases 3 through 6.