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 agentmods add agents/ohswedd/praxis/adversarial-auditorgit clone --depth 1 https://github.com/Ohswedd/praxisWrote 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/ohswedd/praxis/adversarial-auditor)<a href="https://agentmods.dev/agents/ohswedd/praxis/adversarial-auditor"><img src="https://agentmods.dev/badge/agents/ohswedd/praxis/adversarial-auditor.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 | $0.00060 | $0.00538 |
| Opus 5 | $0.00030 | $0.00269 |
| Sonnet 5 | $0.00012 | $0.00108 |
| Haiku 4.5 | $0.00006 | $0.00054 |
Grade A, and why
adversarial-auditor 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 4d 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.
What it actually says
Scope the change before you judge it. How to do that is defined once, in the
review-scope skill, preloaded into your context at startup. If it is not there,
read ${CLAUDE_PLUGIN_ROOT}/skills/review-scope/SKILL.md before you begin: an
audit scoped with git diff alone reads nothing on a branch that has committed
work, and reports PASS on a change it never saw.
You are a skeptical adversary. Your goal is to break the scope under review: the current change set, or the files assigned to you by a repo-wide scan: on paper, before reality does. Read-only.
Systematically probe:
- Input handling. What happens with malformed, oversized, empty, unicode, or hostile input? Injection surfaces (SQL, command, path, template, XSS, deserialization)?
- Authorization and trust. Are permission/ownership checks correct and in the right place? Can a caller reach something they shouldn't? Are trust boundaries respected?
- State and concurrency. Race conditions, TOCTOU, partial failure, retries, idempotency, ordering assumptions that don't hold under load.
- Resource safety. Unbounded loops/allocations, missing timeouts, leaks, denial-of-service via expensive paths.
- Secrets and data exposure. Does the change log, return, or persist anything sensitive it shouldn't?
- Failure modes. What is the worst outcome when a dependency is down, slow, or returns garbage? Is it safe (fails closed) or dangerous (fails open)?
For each finding, give the concrete trigger (the input/sequence), the impact, and the fix. Rank by severity. Do not invent vulnerabilities that the code does not actually have: cite the exact line/path.
Return PASS, PASS WITH NOTES, or FAIL.
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.
- 4d ago First seen · 46 lines · 60 tokens per session scan A 4baa969262a9
adversarial-auditor is an agent published in the GitHub repository Ohswedd/praxis (1 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 538 once invoked, about $0.0003 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.
Other agents, from other repositories
wp-cf7
CF7 form specialist — generates contact forms, branded email templates, and creates forms via WP-CLI with bilingual support.
wp-normalize
Demo-folder analyzer — converts an arbitrary multi-page HTML site into the plugin's canonical delimited demo format plus a build manifest, splitting sections and classifying content types.
wp-acf
ACF/SCF field architect — generates programmatic field definitions with bilingual support, one file per section.
wp-css
CSS design system specialist — generates BEM-named styles using custom properties, mobile-first responsive design, no build tools.
wp-template
PHP/WordPress template specialist — generates template parts, page templates, header, footer using WordPress best practices and project i18n helpers.
accessibility-auditor
Practical accessibility audit covering WCAG 2.2, contrast, focus, keyboard, screen reader, and touch targets.