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 DuongNAD/mcp-vision --skill animal-map-reviewgit clone --depth 1 https://github.com/DuongNAD/mcp-visionWrote 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/duongnad/mcp-vision/animal-map-review)<a href="https://agentmods.dev/skills/duongnad/mcp-vision/animal-map-review"><img src="https://agentmods.dev/badge/skills/duongnad/mcp-vision/animal-map-review/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/duongnad/mcp-vision/animal-map-review"><img src="https://agentmods.dev/badge/skills/duongnad/mcp-vision/animal-map-review.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 | $0.00053 | $0.00422 |
| Opus 5 | $0.00026 | $0.00211 |
| Sonnet 5 | $0.00011 | $0.00084 |
| Haiku 4.5 | $0.00005 | $0.00042 |
Grade A, and why
animal-map-review 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 12d 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
Realistic Anima map review
Use animal-map-vision as an evidence gate, not as an optional reference.
Required order
- Call
discover_map_artifacts. - Call
validate_map_manifest. - Call
prepare_team_review. - Call
inspect_map_viewsfor overview, navigation, collision, lighting, spawn, water, biome-transition, and ecosystem views that exist. - Only then propose or implement changes.
- After changes, rerun the same manifest gate and exact camera views.
If a required tool is unavailable, stop map verification and report that MCP setup must
be repaired with the repository doctor command. Never replace a missing tool result
with an unsupported claim.
Realism gates
- Terrain follows large-scale geology and has no holes, seams, floating assets, or implausible slopes.
- Rivers begin in plausible catchments, flow downhill, join lakes/ocean, and do not terminate or climb without an explicit explanation.
- Climate follows latitude/elevation/wind/rain-shadow inputs.
- Incompatible biomes use ecotones instead of hard borders.
- Species match biome, temperature, land/freshwater/saltwater/air medium, submersion, food, shelter, and predator-prey carrying capacity.
- Rendered geometry, colliders, navmesh, simulation coordinates, and minimap agree.
Teamwork Preview
Use Gemini 3.6 Flash with these workstreams:
- Geometry & Collision
- Navigation & Gameplay
- Ecology & World Coherence
- Visual & Lighting
- Integrator
Every finding includes severity, evidence path/region or manifest field/value, gameplay impact, confidence, proposed fix, and a reproducible before/after check.
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.
- 12d ago First seen · 48 lines · 53 tokens per session scan A 3d0dd7d3cc70
animal-map-review is a skill published in the GitHub repository DuongNAD/mcp-vision (5 stars, last pushed 1mo ago), licensed MIT. It adds 53 tokens to every session and 422 once invoked, about $0.0003 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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