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/Flomenco-Inc/flo-pluginWrote 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/flomenco-inc/flo-plugin/flo-qc-logo)<a href="https://agentmods.dev/commands/flomenco-inc/flo-plugin/flo-qc-logo"><img src="https://agentmods.dev/badge/commands/flomenco-inc/flo-plugin/flo-qc-logo.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00260 |
| Opus 5 | $0.00000 | $0.00130 |
| Sonnet 5 | $0.00000 | $0.00052 |
| Haiku 4.5 | $0.00000 | $0.00026 |
Grade A, and why
flo-qc-logo 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 7d 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
/flo-qc-logo
Run logo QC on a video asset using a stored reference image from your Flo library.
Usage
/flo-qc-logo
Behavior
- Ask the user for:
- Asset ID — video to check
- Reference asset ID — stored image asset used as the official logo
- Include PDF (optional, default false)
- Confirm inputs before proceeding.
- Invoke the
flo_qc_logoMCP tool withassetId,referenceAssetId, andincludePdf. - Present the structured result: overall status, summary,
assetUrl, and findings with timecodes.
Example backend payload shape (for troubleshooting via flo_command):
{
"assetId": "asset-123",
"reference": {
"source": "stored_image",
"referenceAssetId": "logo-777"
},
"options": {
"includePdf": false
}
}
Notes
- Requires active Flo authentication. Run
flo_auth_loginfirst if not already authenticated. - Typical happy path:
/flo-search→ pick asset →/flo-skill-routing→/flo-qc-logo.
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.
- 7d ago First seen · 40 lines · 0 tokens per session scan A 7c93533209c5
flo-qc-logo is a command published in the GitHub repository Flomenco-Inc/flo-plugin (0 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 260 tokens. 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 2026-08-31.
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