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 xixicc186/clawd-emotes-skill --skill clawd-photo-compositorgit clone --depth 1 https://github.com/xixicc186/clawd-emotes-skillWrote 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/xixicc186/clawd-emotes-skill/clawd-photo-compositor)<a href="https://agentmods.dev/skills/xixicc186/clawd-emotes-skill/clawd-photo-compositor"><img src="https://agentmods.dev/badge/skills/xixicc186/clawd-emotes-skill/clawd-photo-compositor/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/xixicc186/clawd-emotes-skill/clawd-photo-compositor"><img src="https://agentmods.dev/badge/skills/xixicc186/clawd-emotes-skill/clawd-photo-compositor.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 | $0.00121 | $0.00994 |
| Opus 5 | $0.00060 | $0.00497 |
| Sonnet 5 | $0.00024 | $0.00199 |
| Haiku 4.5 | $0.00012 | $0.00099 |
Grade A, and why
clawd-photo-compositor 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.
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clawd Photo Compositor
Use the bundled pose image as the source of truth for Clawd. Let the prompt describe placement and interaction, not redesign the character.
Workflow
- Inspect the user's photograph with
view_imagebefore editing it. - Read
references/pose-index.yamland select exactly one pose:- Prefer the action explicitly requested by the user.
- Otherwise match the clearest object, edge, surface, cable, or obstacle in the photograph.
- Ask only when no reasonable target or interaction can be inferred.
- Resolve the selected
filerelative to this skill directory and inspect that pose image withview_image. - Treat the inputs consistently:
- Image 1: the user's photograph and edit target.
- Image 2: the selected Clawd character-and-pose reference.
- Call built-in image generation with both images as references. Pass one Clawd pose only; multiple pose references can cause mixed limbs or duplicate characters.
- Build a short prompt from the template below. Always include both
prompt_constants.identity_lockandprompt_constants.proxy_exclusionfrom the pose index. Include the pose entry'srelation_hintonly when the action depends on occlusion or contact. - Check the result before accepting it:
- Clawd remains a flat 2D block graphic even though the surrounding photograph is realistic.
- Its body silhouette, body aspect ratio, two block hands, four short rectangular legs, and relative part sizes still match Image 2.
- No gray proxy platform, wall, cylinder, line, box, or reference shadow from Image 2 was copied into the photograph. If one check fails, retry once by strengthening only the failed identity or proxy sentence.
- Return the generated image. Do not add a second character, substitute another pose, or generate a standalone Clawd asset unless the user requested that instead.
Prompt template
Prefer two short sentences:
以图1为原图,把图2里的Clawd按图2动作放在图一的{target/location},让它{interaction};保持图一其他内容不变。{relation_hint}
{identity_lock}
{proxy_exclusion}
What ships with it
20 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.
- assets/poses/clawd-a1-front.png 3.1 KB
- assets/poses/clawd-a2-threequarter.png 3.2 KB
- assets/poses/clawd-a3-side.png 2.6 KB
- assets/poses/clawd-a4-back.png 3.0 KB
- assets/poses/clawd-b10-push.png 6.4 KB
- assets/poses/clawd-b12-stand-top.png 2.7 KB
- assets/poses/clawd-b13-sleep-top.png 2.7 KB
- assets/poses/clawd-b14-tiptoe-reach.png 2.7 KB
- assets/poses/clawd-b15-lean.png 7.4 KB
- assets/poses/clawd-b16-pull.png 5.5 KB
- assets/poses/clawd-b3-edge-sit.png 3.2 KB
- assets/poses/clawd-b4-peek-edge.png 3.0 KB
- assets/poses/clawd-b5-hang.png 3.1 KB
- assets/poses/clawd-b6-peek-behind.png 3.1 KB
- assets/poses/clawd-b7-climb.png 2.5 KB
- assets/poses/clawd-b9-hug.png 4.8 KB
- gallery/demo-hug-cable.png 2207 KB
- gallery/demo-peek-laptop.png 1774 KB
- gallery/demo-sleep-macmini.png 1867 KB
- references/pose-index.yaml 5.1 KB
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 · 62 lines · 121 tokens per session scan A 3e529a1e348e
clawd-photo-compositor is a skill published in the GitHub repository xixicc186/clawd-emotes-skill (57 stars, last pushed 1mo ago), licensed MIT. It adds 121 tokens to every session and 994 once invoked, about $0.0006 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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