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 hamzaPixl/pixl-ai --skill vision-advisorygit clone --depth 1 https://github.com/hamzaPixl/pixl-aiWrote 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/hamzapixl/pixl-ai/vision-advisory)<a href="https://agentmods.dev/skills/hamzapixl/pixl-ai/vision-advisory"><img src="https://agentmods.dev/badge/skills/hamzapixl/pixl-ai/vision-advisory/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/hamzapixl/pixl-ai/vision-advisory"><img src="https://agentmods.dev/badge/skills/hamzapixl/pixl-ai/vision-advisory.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 | $0.00054 | $0.02858 |
| Opus 5.5 | $0.00022 | $0.01143 |
| Sonnet 5.5 | $0.00011 | $0.00572 |
| Haiku 4.5 | $0.00005 | $0.00286 |
Grade A, and why
vision-advisory 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.
How it starts
The opening of the file, as written. The whole thing — 317 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vision Advisory Package
Full advisory workflow: document intake → deep research → vision synthesis → functional architecture → business model → roadmap. Produces a multi-document advisory package ready for client delivery.
Read references/vision-template.md for the slide-ready section format used in the vision document.
Phase 1: Intake & Discovery
Parse provided documents and gather project context.
1a: Document Ingestion
Read all provided files (PDF, markdown, text) using the Read tool:
- Extract company identity, current products, stated ambitions
- Extract constraints (regulatory, technical, organizational)
- Note any existing vision elements, strategic priorities, or KPIs
1b: Gap Filling
Use AskUserQuestion to clarify:
| Question | Why |
|---|---|
| Target market / geographic scope | Scopes research in Phase 2-3 |
| Timeline horizon (3-year, 5-year, 10-year) | Shapes roadmap ambition |
| Budget envelope (order of magnitude) | Grounds investment estimates |
| Output language (FR / EN / NL) | All deliverables in this language |
| Key stakeholders / decision-makers | Tone and framing of the document |
| Known competitors to analyze | Seeds competitive research |
1c: Persist
Write intake summary to .context/advisory-intake.md:
- Company name, one-liner description
- Stated ambition / problem to solve
- Constraints and parameters
- Output language
- Source documents referenced
Phase 2: Company Deep-Dive
Research the company deeply using parallel WebSearch calls.
Launch these searches concurrently:
2a: Core Identity
- What the company does (products, services, solutions)
- Size (employees, revenue, offices, countries)
- Ownership structure (public, private, subsidiary)
- History (founding, key milestones, acquisitions)
2b: Asset Mapping
| Asset Type | What to find |
|---|---|
| Products/Solutions | Full portfolio with names, descriptions, target markets |
| Client base | Named clients, industries served, reference projects |
| Partnerships | Technology partners, channel partners, certifications |
| Geographic presence | Offices, markets, regions of strength |
| Technical expertise | Core competencies, patents, certifications |
| Brand/Trust | Government contracts, enterprise clients, industry recognition |
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.
- 1mo ago First seen · 317 lines · 54 tokens per session scan A ca582498614e
vision-advisory is a skill published in the GitHub repository hamzaPixl/pixl-ai (2 stars, last pushed 6mo ago), licensed MIT. It adds 54 tokens to every session and 2,858 once invoked, about $0.0002 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 2026-09-03.
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