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 skills/entityprocess/agentv/image-compress-and-docsnpx skills add EntityProcess/agentv --skill image-compress-and-docsgit clone --depth 1 https://github.com/EntityProcess/agentvWhat 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 | $0.00075 | $0.01380 |
| Opus 5 | $0.00037 | $0.00690 |
| Sonnet 5 | $0.00015 | $0.00276 |
| Haiku 4.5 | $0.00007 | $0.00138 |
Grade B, and why
image-compress-and-docs scanned grade B 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 2d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo apt-get install -y pngquant optipng How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Compression & Docs Update
Capture browser screenshots, optimize them for the web, and publish to the Astro docs site at apps/web/src/content/docs/.
Prerequisites
Install optimization tools if not present:
# Ubuntu/Debian (usually pre-installed)
sudo apt-get install -y pngquant optipng
# macOS
brew install pngquant optipng
Verify:
which pngquant optipng
Step 1 — Capture Screenshots
Use agent-browser with a named session and 1440×860 viewport for docs-quality screenshots. Always use --session to isolate, never --headed.
# Start the target server first (e.g., Dashboard)
bun apps/cli/src/cli.ts dashboard --port 14800 &
sleep 3
# Open, set viewport, navigate, screenshot
agent-browser --session docs-shots open http://localhost:14800
agent-browser --session docs-shots wait --load networkidle
agent-browser --session docs-shots set viewport 1440 860
agent-browser --session docs-shots snapshot -i # discover refs
agent-browser --session docs-shots click <ref> # navigate if needed
agent-browser --session docs-shots wait --load networkidle
agent-browser --session docs-shots screenshot # saved to /run/user/1000/agent-browser/tmp/screenshots/
# Clean up
agent-browser --session docs-shots close
kill $(lsof -ti:14800) 2>/dev/null
Screenshots with realistic data: Dashboard screenshots must have populated data — multiple runs with varying pass rates and real targets. If results are sparse, create synthetic run bundles under .agentv/results/<run_id>/ with summary.json plus .internal/index.jsonl rows before launching Dashboard.
Synthetic JSONL record format:
{"test_id": "my-test", "score": 0.95, "target": "claude-sonnet", "experiment": "default", "timestamp": "2026-04-08T09:15:44.003Z", "status": "pass", "suite": "my-suite", "duration_ms": 3500, "token_usage": {"input_tokens": 1200, "output_tokens": 400}, "scores": [{"type": "llm-rubric", "score": 0.95, "pass": true}], "grading_path": "my-test--demo/sample-1/grading.json", "metrics_path": "my-test--demo/sample-1/metrics.json", "error": null}
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.
- 2d ago First seen · 141 lines · 75 tokens per session scan B 2c28832e3c5b
image-compress-and-docs is a skill published in the GitHub repository EntityProcess/agentv (15 stars, last pushed 1mo ago), licensed MIT. It adds 75 tokens to every session and 1,380 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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