clawd-photo-compositor

clawd-photo-compositor is a skill for Claude Code, Codex from xixicc186/clawd-emotes-skill. It costs 121 tokens per session (994 once invoked), scanned A, original, MIT.

An image-editing workflow that adds the Clawd character to a user-provided photograph. It chooses one supplied pose reference and uses image generation to place the character in the scene.

In plain words
What is it for?
Use it when Clawd should sit, stand, hide, lean, climb, hug or interact with something in a photograph.
Why use it?
It provides a defined way to place the same character into different photos while matching a requested action or nearby object.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when Clawd should sit, stand, hide, lean, climb, hug or interact with something in a photograph.

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Install with agentmods
npx agentmods add skills/xixicc186/clawd-emotes-skill/clawd-photo-compositor
Install

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.

Any agent
npx skills add xixicc186/clawd-emotes-skill --skill clawd-photo-compositor
Clone the repo
git clone --depth 1 https://github.com/xixicc186/clawd-emotes-skill

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for clawd-photo-compositor

README.md
[![agentmods](https://agentmods.dev/badge/skills/xixicc186/clawd-emotes-skill/clawd-photo-compositor/github.svg)](https://agentmods.dev/skills/xixicc186/clawd-emotes-skill/clawd-photo-compositor)
Your own site
<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.

agentmods 80×15 button for clawd-photo-compositor

Your own site · 80×15
<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>
Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 994 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 12d ago against content hash 3e529a1e348e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

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.

clawd-photo-compositor/SKILL.md · 62 lines

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

  1. Inspect the user's photograph with view_image before editing it.
  2. Read references/pose-index.yaml and 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.
  3. Resolve the selected file relative to this skill directory and inspect that pose image with view_image.
  4. Treat the inputs consistently:
    • Image 1: the user's photograph and edit target.
    • Image 2: the selected Clawd character-and-pose reference.
  5. 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.
  6. Build a short prompt from the template below. Always include both prompt_constants.identity_lock and prompt_constants.proxy_exclusion from the pose index. Include the pose entry's relation_hint only when the action depends on occlusion or contact.
  7. 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.
  8. 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}

Read the full file on GitHub · 62 lines

Changes

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.

  1. 12d ago First seen · 62 lines · 121 tokens per session scan A 3e529a1e348e

Subscribe to this mod's changes

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.