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 giggsoinc/raven --skill andie-framesgit clone --depth 1 https://github.com/giggsoinc/ravenWrote 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/giggsoinc/raven/andie-frames)<a href="https://agentmods.dev/skills/giggsoinc/raven/andie-frames"><img src="https://agentmods.dev/badge/skills/giggsoinc/raven/andie-frames/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/giggsoinc/raven/andie-frames"><img src="https://agentmods.dev/badge/skills/giggsoinc/raven/andie-frames.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 | $0.00054 | $0.02025 |
| Opus 5.5 | $0.00022 | $0.00810 |
| Sonnet 5.5 | $0.00011 | $0.00405 |
| Haiku 4.5 | $0.00005 | $0.00202 |
Grade A, and why
andie-frames 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Andie-Frames
AI browser testing you watch live. Like UiPath — but Claude drives it.
QUICK START
/andie-frames https://your-app.com
One-time setup — pick one:
- Chrome (recommended): Install Claude-in-Chrome extension → open a regular Chrome window → connect it
- Playwright fallback:
npm i -g playwright && npx playwright install chromium
During the run — just talk:
| Say | Result |
|---|---|
GO |
Start testing |
focus on security |
Filter cases, then start |
skip login tests |
Remove auth cases |
scroll down first |
Executes immediately, resumes |
stop |
Pauses — awaits instruction |
abort |
Stops, writes partial report |
WHAT IT TESTS (20+ cases auto-generated)
| Category | Checks |
|---|---|
| UI | Broken images · layout · labels · error states · responsive |
| UX | Time-to-interactive · click latency · form feedback |
| Data | Network payloads · validation copy · API field completeness |
| Security | HTTPS · CSP · data exposure · auth lockout · logout |
| Correctness | Login flow · error states · redirects · HTTP status |
| Speed | Page load · TTFB · API response · blocking resources |
WHAT GETS CREATED
tests/andie-frames/
cases.csv ← generated test index
yaml/TC001-*.yaml ← one file per case
docs/andie-frames/{run_id}/
FRAMES-REPORT.md ← final verdict
raven-queue.json ← Raven auto-fix queue
blockers/*.md ← one per failure (Raven reads these)
screenshots/ ← before + after every step
CREDENTIALS — NEVER HARDCODED
Reference by key name only. Resolution order (first match wins):
.envin project →~/.env→ Lockey MCP → AWS SSM → GCP Secret Manager → Vault → human prompt (masked)
BUSINESS CONTEXT & SCOPE DOCUMENTS
Andie-Frames accepts scope input in any format. The richer the context, the smarter the generated test cases.
Scope resolution order (first match wins, all merged)
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.
- 1mo ago First seen · 237 lines · 54 tokens per session scan A 4dcceeee7672
andie-frames is a skill published in the GitHub repository giggsoinc/raven (5 stars, last pushed 13d ago), licensed MIT. It adds 54 tokens to every session and 2,025 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 2026-09-03.
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