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/first-fluke/fullstack-starterWrote 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/commands/first-fluke/fullstack-starter/video)<a href="https://agentmods.dev/commands/first-fluke/fullstack-starter/video"><img src="https://agentmods.dev/badge/commands/first-fluke/fullstack-starter/video/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/commands/first-fluke/fullstack-starter/video"><img src="https://agentmods.dev/badge/commands/first-fluke/fullstack-starter/video.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 | $0.00050 | $0.00086 |
| Opus 5 | $0.00025 | $0.00043 |
| Sonnet 5 | $0.00010 | $0.00017 |
| Haiku 4.5 | $0.00005 | $0.00009 |
Grade A, and why
video 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 yesterday.
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
Read and follow .agents/workflows/video.md step by step.
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.
- yesterday First seen · 8 lines · 50 tokens per session scan A 340002745055
video is a command published in the GitHub repository first-fluke/fullstack-starter (222 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 86 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 2026-09-08.
Other commands, from other repositories
verify-work
Verify feature, bug, UI, API, mobile, security, or deployment work against acceptance criteria.
security-test
Fast, continuous DevSecOps pipeline for Pull Requests and active branches. Runs SAST, SCA, and secrets detection to catch vulnerabilities before they merge.
review
Review code changes against project conventions.
battle-test
Deep audit of a skills directory against the Skill Creator standard. Produces a scored report and phased remediation plan.
traceability-audit
Map requirements, acceptance criteria, implementation, tests, and release artifacts into one traceability report.
codebase-review
Review an entire codebase for architecture, engineering health, and exploitable risk; generate a prioritized remediation plan, an evidence-anchored system knowledge document, or both.