Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/anymouschina/TapCanvasnpx agentmods add skills/anymouschina/tapcanvas/tapcanvas-collage-localWrote 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/anymouschina/tapcanvas/tapcanvas-collage-local)<a href="https://agentmods.dev/skills/anymouschina/tapcanvas/tapcanvas-collage-local"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/tapcanvas-collage-local/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/anymouschina/tapcanvas/tapcanvas-collage-local"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/tapcanvas-collage-local.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 | $0.00031 | $0.00497 |
| Opus 5 | $0.00015 | $0.00249 |
| Sonnet 5 | $0.00006 | $0.00099 |
| Haiku 4.5 | $0.00003 | $0.00050 |
Grade A, and why
tapcanvas-collage-local 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 11d 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
TapCanvas Local Collage
Use this skill when the task is:
- merge multiple storyboard frames into one grid image
- merge role-card images and add role-name labels
- avoid model-based collage generation
This skill is local-first and deterministic. It does not call any model API.
Prerequisites
- Python 3.9+
- Pillow
Install:
python3 -m pip install --upgrade pillow
Script
Path:
skills/tapcanvas-collage-local/scripts/collage.py
Input modes
You can pass image inputs as:
- local file paths
- HTTP/HTTPS URLs
Usage examples
- 2x2 collage with role labels:
python3 skills/tapcanvas-collage-local/scripts/collage.py \
--input ./tmp/shot1.png \
--input ./tmp/shot2.png \
--input ./tmp/shot3.png \
--input ./tmp/shot4.png \
--label "真宫寺唯" \
--label "萧夜" \
--label "真宫寺唯" \
--label "萧夜" \
--output ./tmp/role-collage.png \
--grid 2 \
--cell-size 640 \
--divider-width 4 \
--divider-color "#ffffff"
- URL inputs, auto grid:
python3 skills/tapcanvas-collage-local/scripts/collage.py \
--input "https://example.com/a.png" \
--input "https://example.com/b.png" \
--input "https://example.com/c.png" \
--output ./tmp/storyboard-collage.png \
--grid auto
Behavior
- Fills each cell with center-crop + resize (stable visual layout).
- Draws a semi-transparent dark label strip at cell bottom.
- Draws per-cell label text in white.
- If labels are fewer than images, remaining cells are unlabeled.
- If labels are more than images, extra labels are ignored.
Output
- Default output format: PNG.
- Ensure output path parent directories exist (script auto-creates).
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.
- 11d ago First seen · 83 lines · 31 tokens per session scan A f2214e7f5dea
tapcanvas-collage-local is a skill published in the GitHub repository anymouschina/TapCanvas (603 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 497 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 2026-08-30.
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