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 Dsadd4/AgentFigureGallery --skill agent-figure-gallerygit clone --depth 1 https://github.com/Dsadd4/AgentFigureGalleryWrote 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/dsadd4/agentfiguregallery/agent-figure-gallery)<a href="https://agentmods.dev/skills/dsadd4/agentfiguregallery/agent-figure-gallery"><img src="https://agentmods.dev/badge/skills/dsadd4/agentfiguregallery/agent-figure-gallery/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/dsadd4/agentfiguregallery/agent-figure-gallery"><img src="https://agentmods.dev/badge/skills/dsadd4/agentfiguregallery/agent-figure-gallery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.00557 |
| Opus 5.5 | $0.00014 | $0.00223 |
| Sonnet 5.5 | $0.00007 | $0.00111 |
| Haiku 4.5 | $0.00004 | $0.00056 |
Grade A, and why
agent-figure-gallery 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Figure Gallery
Core Rule
Treat this skill as a lightweight controller. Do not load the full visual corpus into the skill. Use AGENT_FIGURE_GALLERY_ROOT or DRAWING_KB_ROOT to point at the external AgentFigureGallery knowledge base.
Key Files
- KB root:
AGENT_FIGURE_GALLERY_ROOT=/path/to/AgentFigureGallery - CLI:
agentfiguregalleryorpython -m agentfiguregallery.cli - Gallery server: backend command that serves the reference gallery on localhost
- Candidate index:
data/reference_candidate_index.json - Global preferences:
data/reference_global_preferences.json - Reference sessions:
outputs/reference_sessions/
Minimal Workflow
- Resolve the KB root:
export AGENT_FIGURE_GALLERY_ROOT=/path/to/AgentFigureGallery - Query before reading individual references:
agentfiguregallery query --task "<user task>" - Generate visible candidates:
agentfiguregallery gallery --plot-type <plot_type> --task "<user task>" --limit 50 --serve - Record human preferences:
agentfiguregallery prefer --session outputs/reference_sessions/<session_id> --like <ID> --reject <ID> --select <ID> - Export a selected bundle:
agentfiguregallery bundle --session outputs/reference_sessions/<session_id> --copy-scripts - Use the bundle before writing or revising plotting code.
Preference Semantics
like: useful for this task or plot type.reject: not useful for this task or plot type.select: use this candidate for the current agent action.global_like: generally useful across tasks.global_reject: hide from future sessions.
Local preferences must preserve plot_type. Global preferences are cross-task.
Validation
After changing the CLI, gallery, preference logic, or bundle export:
agentfiguregallery gallery --plot-type embedding_plot --limit 20 --serve
agentfiguregallery prefer --session outputs/reference_sessions/<session_id> --like E01 --select E02
agentfiguregallery bundle --session outputs/reference_sessions/<session_id>
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 · 66 lines · 36 tokens per session scan A 8be0dfeba256
agent-figure-gallery is a skill published in the GitHub repository Dsadd4/AgentFigureGallery (169 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 557 once invoked, about $0.0001 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 2026-08-30.
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