Borrowing it
Nothing to install: this file belongs to gabelul/pixeltamer-gpt-image-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/gabelul/pixeltamer-gpt-image-skill/main/CLAUDE.mdgit clone --depth 1 https://github.com/gabelul/pixeltamer-gpt-image-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/instructions/gabelul/pixeltamer-gpt-image-skill/claude-md)<a href="https://agentmods.dev/instructions/gabelul/pixeltamer-gpt-image-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/gabelul/pixeltamer-gpt-image-skill/claude-md/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/instructions/gabelul/pixeltamer-gpt-image-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/gabelul/pixeltamer-gpt-image-skill/claude-md.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 | $0.01899 | $0.01899 |
| Opus 5 | $0.00949 | $0.00949 |
| Sonnet 5 | $0.00380 | $0.00380 |
| Haiku 4.5 | $0.00190 | $0.00190 |
Grade A, and why
pixeltamer-gpt-image-skill CLAUDE.md scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
pixeltamer_api.py — Python API client, zero deps (urllib only) How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — pixeltamer
What this is
A skill (markdown + small scripts) that generates, edits, and composes images via gpt-image-2. Works with Claude Code, Codex CLI, OpenCode, Cursor, and 40+ other agents via the Skills CLI.
Architecture
SKILL.md is the orchestrator. It tells Claude (or whatever agent loaded the skill) what to do when an image-generation request comes in: identify the mode, pick the recipe, load the right reference doc, call the dispatcher, visually self-verify the result.
SKILL.md — entry point, mode routing, workflow, output format
SKILL-OC.md — token-optimized variant for OpenClaw
scripts/
pixeltamer — bash dispatcher; auto-detects backend, first-run config
pixeltamer_api.py — Python API client, zero deps (urllib only)
pixeltamer_codex.sh — codex CLI wrapper, two invocation patterns w/ fallback
verify-images.mjs — multi-image batch verifier orchestrator
lib/
parse-prompts.mjs — parser for prompts.md state-machine format
verify-entry.mjs — per-entry checks: file exists, dimensions, size, format
write-status.mjs — surgical status field updater for prompts.md
image-dimensions.mjs — zero-dep PNG/JPEG header reader (replaced the image-size npm dep)
references/
prompting.md — the doctrine. Canonical structure, what NOT to say.
api-backend.md — API specifics, env vars, troubleshooting
codex-backend.md — codex CLI specifics, both invocation patterns
multi-reference.md — compose mode mastery, labeling patterns
post-process.md — compress, resize, convert, alpha-extract one-liners
ui-mockup-prompting.md — UI dialect: analogy vs inventory, real data, asset rules
recipes/
infographic.md
meta-ad.md
viral-linkedin.md
ui-mockup.md
editorial-cover.md
product-photo.md
examples/ — 4 curated demonstration PNGs
tests/ — 39 unit tests covering parser, verifier, status writer, image-dimension reader
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.
- 10d ago First seen · 128 lines · 1,899 tokens per session scan A 3c64734f66be
pixeltamer-gpt-image-skill CLAUDE.md is an instructions file published in the GitHub repository gabelul/pixeltamer-gpt-image-skill (5 stars, last pushed 20d ago), licensed MIT. It adds 1,899 tokens to every session, about $0.0095 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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