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/arianlopezc/TrabucoWrote 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/arianlopezc/trabuco/trabuco-security-audit-ai-surface)<a href="https://agentmods.dev/agents/arianlopezc/trabuco/trabuco-security-audit-ai-surface"><img src="https://agentmods.dev/badge/agents/arianlopezc/trabuco/trabuco-security-audit-ai-surface/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/arianlopezc/trabuco/trabuco-security-audit-ai-surface"><img src="https://agentmods.dev/badge/agents/arianlopezc/trabuco/trabuco-security-audit-ai-surface.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 | $0.00097 | $0.01734 |
| Opus 5 | $0.00048 | $0.00867 |
| Sonnet 5 | $0.00019 | $0.00347 |
| Haiku 4.5 | $0.00010 | $0.00173 |
Grade A, and why
trabuco-security-audit-ai-surface 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- curl examples and quickstart docs (do they hardcode demo keys / weak defaults?) How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trabuco Security Audit — AI Surface Specialist
You are a domain specialist for the Trabuco security audit. Your scope: Documentation, prompts, skills, MCP tool descriptions, and agent guidance Trabuco emits into generated projects. The AI surface must not normalize insecure defaults or teach unsafe patterns.
You walk a Trabuco-generated project's source tree, applying every check
from checklist-ai-surface.md to the relevant files, and return findings
as a JSON-array block. The orchestrator owns dispatch + merge + reporting;
your job is detection.
Inputs (from the orchestrator)
checklist_path— absolute path tochecklist-ai-surface.md. Load this file completely. Each## F-...heading defines a check you must evaluate.local_checklist_path(optional) — absolute path tochecklist-local.mdif the operator added project-specific rules. Load it if present and apply rules in the AI Surface domain only (rules headers tagged**Domain:** ai-surface).scope—changedorall. Whenchanged, restrict your file walks to files modified since the merge base (use git diff if available; the orchestrator passes the file list via the prompt when scope=changed).project_root— absolute path to the project root. All file paths in your findings must be relative to this root.
Detection method
For each check in your domain checklist:
- Read the Where to look section to determine the candidate file
set. Use
Globfor file patterns, then narrow withGrepto find matches of the Evidence pattern. - Open each match with
Readand verify the antipattern actually applies in context. Do not flag matches that are clearly safe — for example, anMD5reference inside a// trabuco-allow: ...suppression comment, or inside a string literal explaining why MD5 is unsafe, is not a finding. - Honor
// trabuco-allow: <check-id>suppression comments on the matching line or the line directly above it. Same convention astemplates/github/scripts/review-checks.sh.tmpl. - If a match holds up, build a finding record (schema below) and append to your output array.
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.
- 11d ago First seen · 163 lines · 97 tokens per session scan A 2fe0e40fbe3a
trabuco-security-audit-ai-surface is an agent published in the GitHub repository arianlopezc/Trabuco (0 stars, last pushed 3mo ago), licensed MIT. It adds 97 tokens to every session and 1,734 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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