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 HuginnIndustries/CodeCartographer --skill vision-capturegit clone --depth 1 https://github.com/HuginnIndustries/CodeCartographerWrote 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/huginnindustries/codecartographer/vision-capture)<a href="https://agentmods.dev/skills/huginnindustries/codecartographer/vision-capture"><img src="https://agentmods.dev/badge/skills/huginnindustries/codecartographer/vision-capture.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 | $0.00030 | $0.00254 |
| Opus 5 | $0.00015 | $0.00127 |
| Sonnet 5 | $0.00006 | $0.00051 |
| Haiku 4.5 | $0.00003 | $0.00025 |
Grade A, and why
capture-product-vision 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 6d 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
Capture Product Vision
Produce findings/vision-capture/vision.md using templates/vision.md.
Treat user-stated intent as the primary evidence. Do not inspect or choose library entries in this phase; selection comes later so the available implementation ingredients do not distort the problem definition.
Capture:
- the specific audience and problem,
- desired user-visible outcomes,
- scope boundaries and deliberate non-goals,
- technical, operational, timeline, privacy, and compatibility constraints,
- measurable success criteria,
- black-box acceptance scenarios,
- assumptions and decisions that still require confirmation.
Do not invent missing product choices. If this phase is running without a sufficiently detailed user vision, use the current conversation and any explicitly supplied inputs, mark unsupported details as assumptions, and return PASS WITH GAPS. Record truly blocking choices as stable open-question IDs in the phase handoff.
Keep architecture preferences separate from required outcomes unless the user made them explicit. The next phases need freedom to compare multiple library specifications against the same neutral vision.
End with Coverage and limits and the validation table from the template.
What ships with it
2 files 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.
- 6d ago First seen · 27 lines · 30 tokens per session scan A 01f4401ff270
capture-product-vision is a skill published in the GitHub repository HuginnIndustries/CodeCartographer (4 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 254 once invoked, about $0.0002 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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