pixellab-pip: Instructions file for Codex

AGENTS.md

pixellab-pip AGENTS.md is an instructions file for Codex, OpenCode from Shilo/pixellab-pip. It costs 807 tokens per session, scanned A, original, MIT.

Project instructions for PixelLab Pip, an unofficial workflow router delivered as an Agent Skill. It teaches coding agents how to classify asset requests, normalize prompts, handle credentials, choose supported PixelLab routes, and package results.

In plain words
What is it for?
It supports workflows for sprites, tilesets, layered characters, edits, animation, completion sounds, localization, quality checks, and packaging.
Why use it?
It gives agents a repeatable decision process for varied art tasks while keeping changes small and preserving safety and correctness rules.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions subagents.

This is Shilo/pixellab-pip's own configuration. It tells Codex and OpenCode how to work on pixellab-pip itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything pixellab-pip configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Shilo/pixellab-pip. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Shilo/pixellab-pip/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/Shilo/pixellab-pip

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 807 This file is loaded in full into every session.
When invoked 807 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00807 $0.00807
Opus 5.5 $0.00323 $0.00323
Sonnet 5.5 $0.00161 $0.00161
Haiku 4.5 $0.00081 $0.00081

Measured yesterday against content hash 9ec610a10501, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pixellab-pip AGENTS.md 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 yesterday.

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.

AGENTS.md · 21 lines

How it starts

The opening of the file, as written. The whole thing — 21 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PixelLab Pip is an unofficial, agent-agnostic PixelLab workflow router shipped as a portable Agent Skill. It teaches coding agents to choose between documented PixelLab MCP tools, REST v2 endpoints, website/editor fallback, Aseprite, Pixelorama, and local asset assembly. The repository is mostly Markdown because the product is the routing contract itself — task detection, prompt normalization, image-role classification, credential handling, usage reporting, localization, and specialty workflows for sprites, tilesets, layered characters, edits, animation, and completion sounds — plus helper scripts, QA, and packaging manifests.

Project rules:

  • Apply KISS and YAGNI to agent-facing/runtime and implementation work: additions, fixes, tests, tooling, manifests, and refactors. Make the smallest complete change that satisfies the current requirement without weakening functionality, correctness, safety, or efficiency. Shorter is not automatically better — challenge every cut and every addition.
  • Add only what the current task requires, using verified PixelLab behavior where relevant and preserving applicable safety/correctness constraints. No speculative future-proofing, unused outputs/formats, compatibility paths without a current requirement, redundant examples, or optional machinery.
  • Before planning or delegating agent-facing edits, read the target and relevant canonical guidance. Keep each runtime rule in one place (SKILL.md if global; one reference if specific) and retain it only if it adds an agent decision, action, safety boundary, or verification step. Otherwise consolidate or point to the existing rule. Apply this test to plans and subagent output; check the final diff for duplication before QA/commit.
  • Reuse and simplify existing structure before creating a file, section, workflow, example, schema mapping, or helper. When new guidance replaces old guidance, remove the obsolete text in the same change.
  • The KISS/YAGNI, runtime-content, canonical-placement, and reuse/consolidation rules above do not apply to docs/. docs/ is user-facing; follow the user's request and the document's own requirements.
  • Never weaken protections for routing accuracy, public-vs-private PixelLab endpoint boundaries, secret/auth safety, paid-credit control, output integrity, or user trust. Simplify them through consolidation.
  • Never write personal or machine-specific data into a non-gitignored file or commit message, docs/ included: the user's real absolute or home paths, OS username, location or timezone, email, hostname or IP, or anything else that identifies the user or their machine — availability is never a reason to record it. Use repo-relative paths and placeholders; if neither fits, omit the value. Gitignored paths (.local/, pixellab-pip-generations/) are exempt; secret and token values are not, and stay out of every file.

Content placement (progressive discovery):

  • skills/pixellab-pip/SKILL.md — agent-facing canonical contract and lean router: triggers, guardrails, surface selection, pointers. It must classify common requests and point directly to any required reference.
  • skills/pixellab-pip/references/*.md — agent-facing operational contracts loaded on demand: durable routing rules, schema mappings, safety constraints, verification. Never restate SKILL.md globals (it is always co-loaded); use a pointer.
  • docs/ — human/developer research, evidence, and background; not required for normal runtime routing. Promote a finding into SKILL.md or references/ only when it changes agent behavior. (docs/pixellab/ terminology and routing research; docs/tools/ integration background; docs/developer.md repo structure and local install; docs/showcase/README.md showcase rules.)
  • .local/ — temporary agent-generated or cache files.

Validate every edit: python dev-tools/qa.py (includes the unit tests). Commits: conventional <type>[optional scope]: <description>. Record user-facing changes under [Unreleased] in CHANGELOG.md; release steps: docs/developer.md#changelog.

Read the full file on GitHub · 21 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. yesterday Changed · +1 lines · +26 tokens per session 9ec610a10501
  2. 1mo ago Changed · -1 lines · +2 tokens per session 4225d39aa1ab
  3. 1mo ago First seen · 21 lines · 779 tokens per session scan A fc3697a8301b

Subscribe to this mod's changes

pixellab-pip AGENTS.md is an instructions file published in the GitHub repository Shilo/pixellab-pip (41 stars, last pushed yesterday), licensed MIT. It adds 807 tokens to every session, about $0.0032 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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