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 b2bforce/b2bforce --skill intel-ai-visibilitygit clone --depth 1 https://github.com/b2bforce/b2bforceWrote 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/b2bforce/b2bforce/intel-ai-visibility)<a href="https://agentmods.dev/skills/b2bforce/b2bforce/intel-ai-visibility"><img src="https://agentmods.dev/badge/skills/b2bforce/b2bforce/intel-ai-visibility/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/b2bforce/b2bforce/intel-ai-visibility"><img src="https://agentmods.dev/badge/skills/b2bforce/b2bforce/intel-ai-visibility.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 | $0.00080 | $0.02662 |
| Opus 5.5 | $0.00032 | $0.01065 |
| Sonnet 5.5 | $0.00016 | $0.00532 |
| Haiku 4.5 | $0.00008 | $0.00266 |
Grade A, and why
intel-ai-visibility 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Visibility
Answers one question on a schedule: when a buyer asks an answer engine for a firm like this one, does this firm get named?
This is the same pattern as intel-competitor-monitoring — a versioned panel, dated
runs, a rollup — with prompts in place of URLs. Nothing new architecturally. The value
is in the panel design and in the measurement discipline below.
Buyers now shortlist inside chat sessions, and an answer engine returns four to seven names where a search page returned ten links. A firm can run the entire content pipeline in this repo, rank perfectly well, and be absent from that shortlist. Without this skill the repo gives it no way to find out.
Read First
Brand scope. In a multi-brand workspace (2+ brand homes in workspace/firm/brands/), every path this skill reads or writes is brand-scoped: definitional entities (services, ICP, personas, proof, channels) live in firm/brands/{brand}/…, working pipelines carry a {brand}/ segment under their entity root, and the working brand comes from the user's choice or B2BFORCE_BRAND — never guessed. Rules: Brand Scope Gate in AGENTS.md; paths: docs/WORKSPACE.md.
workspace/firm/profile.md— firm name, aliases, domain, geography.workspace/firm/services/*.md— what the firm actually sells.workspace/marketing/icp/*.mdandicp/personas/*.md— how buyers describe their problem, and their objections.workspace/marketing/content/ideas/*.md— every idea carries abuyer_question. These are already real buyer phrasings; do not invent new ones while they exist.workspace/intelligence/competitors/*/!_profile.md— the named set to measure against. Share of answer is only meaningful relative to somebody.
The Firm Context Gate and ICP Gate apply. A prompt panel built without ICP context is a list of keywords with question marks.
Measurement Discipline
The rules that keep this skill from producing a misleading artifact. Non-negotiable, because an answer engine is non-deterministic: three runs of one prompt give three answers.
What ships with it
1 file 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.
- 2mo ago First seen · 235 lines · 80 tokens per session scan A b10b74fb32f8
intel-ai-visibility is a skill published in the GitHub repository b2bforce/b2bforce (2 stars, last pushed 14d ago), licensed MIT. It adds 80 tokens to every session and 2,662 once invoked, about $0.0003 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 2026-08-31.
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