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 kar2phi/video-lens --skill video-lens-gallerygit clone --depth 1 https://github.com/kar2phi/video-lensWrote 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/kar2phi/video-lens/video-lens-gallery)<a href="https://agentmods.dev/skills/kar2phi/video-lens/video-lens-gallery"><img src="https://agentmods.dev/badge/skills/kar2phi/video-lens/video-lens-gallery/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/kar2phi/video-lens/video-lens-gallery"><img src="https://agentmods.dev/badge/skills/kar2phi/video-lens/video-lens-gallery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 32 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 33 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00108 | $0.00653 |
| Opus 5.5 | $0.00043 | $0.00261 |
| Sonnet 5.5 | $0.00022 | $0.00131 |
| Haiku 4.5 | $0.00011 | $0.00065 |
Grade A, and why
video-lens-gallery scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
video-lens-gallery
Manage and browse your saved video-lens reports.
Step 1 — Locate skill scripts
Discover both video-lens/scripts ($_sd) and video-lens-gallery/scripts ($_gd) using the standard 8-agent discovery loop:
_sd=$(for d in ~/.agents ~/.claude ~/.copilot ~/.gemini ~/.cursor ~/.windsurf ~/.opencode ~/.codex; do
[ -d "$d/skills/video-lens/scripts" ] && echo "$d/skills/video-lens/scripts" && break
done)
_gd=$(for d in ~/.agents ~/.claude ~/.copilot ~/.gemini ~/.cursor ~/.windsurf ~/.opencode ~/.codex; do
[ -d "$d/skills/video-lens-gallery/scripts" ] && echo "$d/skills/video-lens-gallery/scripts" && break
done)
[ -z "$_sd" ] && echo "video-lens skill not found — install it first: npx skills add kar2phi/video-lens" && exit 1
[ -z "$_gd" ] && echo "video-lens-gallery skill not found — install it first: npx skills add kar2phi/video-lens" && exit 1
Step 2 — Backfill metadata (only if requested)
If the user's request mentions "backfill", run:
python3 "$_gd/backfill_meta.py" --dir ~/Downloads/video-lens
Step 3 — Rebuild index
Check that the reports directory exists before running:
[ -d ~/Downloads/video-lens ] || { echo "No reports directory found — save some videos first with the video-lens skill."; exit 1; }
python3 "$_gd/build_index.py" --dir ~/Downloads/video-lens
Tell the user the number of reports indexed, from the script's output.
Step 4 — Serve gallery
bash "$_sd/serve_report.sh" ~/Downloads/video-lens/index.html ~/Downloads/video-lens
If serve_report.sh prints an ERROR: line (e.g. ERROR:SERVE_PORT_BUSY when port 8765 is held by another program), report the message and stop. Otherwise — confirmed by its HTML_REPORT: line — tell the user the gallery is now available at http://localhost:8765/index.html.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 62 lines · 108 tokens per session scan A 1d95e4b3bd17
video-lens-gallery is a skill published in the GitHub repository kar2phi/video-lens (119 stars, last pushed 2d ago), licensed MIT. It adds 108 tokens to every session and 653 once invoked, about $0.0004 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.
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