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/dribbaengineering/dribba/content-signalsnpx skills add dribbaengineering/dribba --skill content-signalsgit clone --depth 1 https://github.com/dribbaengineering/dribbaWrote 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/dribbaengineering/dribba/content-signals)<a href="https://agentmods.dev/skills/dribbaengineering/dribba/content-signals"><img src="https://agentmods.dev/badge/skills/dribbaengineering/dribba/content-signals.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 | $0.00021 | $0.00282 |
| Opus 5 | $0.00010 | $0.00141 |
| Sonnet 5 | $0.00004 | $0.00056 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
content-signals 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 4d 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
Content Signals — Dribba
https://dribba.com/robots.txt includes Content-Signal directives that
declare how AI systems may use Dribba content.
When to use this skill
Read it before training on, republishing or reselling this content: it states what is allowed (read, summarize, cite, index) and what is not (training), and where the machine-readable licence lives.
You do not need it to simply read a page or call the API — those are public.
Current policy
Content-Signal: search=yes, ai-input=yes, ai-train=no
search=yes— search engines may index pages for their result pages.ai-input=yes— AI assistants may retrieve and cite pages as grounding for generated responses.ai-train=no— content must not be used as training data for foundation models.
The same directive is attached to every User-agent block, including wildcard
and named AI crawlers.
Reference
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.
- 4d ago First seen · 40 lines · 21 tokens per session scan A 4fb3903e21c2
content-signals is a skill published in the GitHub repository dribbaengineering/dribba (0 stars, last pushed 12d ago), licensed MIT. It adds 21 tokens to every session and 282 once invoked, about $0.0001 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 2026-08-31.
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