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 agentmods add instructions/shilo/pixellab-pip/agents-mdgit clone --depth 1 https://github.com/Shilo/pixellab-pipWrote 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/shilo/pixellab-pip/agents-md)<a href="https://agentmods.dev/instructions/shilo/pixellab-pip/agents-md"><img src="https://agentmods.dev/badge/instructions/shilo/pixellab-pip/agents-md.svg" alt="Measured on agentmods" 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 | $0.00779 | $0.00779 |
| Opus 5 | $0.00390 | $0.00390 |
| Sonnet 5 | $0.00156 | $0.00156 |
| Haiku 4.5 | $0.00078 | $0.00078 |
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 5d 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
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.
- Keep runtime content only when it changes an agent decision, action, safety boundary, or verification step. Retain only the rationale needed to apply it; move research, evidence, and background explanation to docs/.
- Keep each runtime rule in one canonical place: SKILL.md if global, or one reference if specific to a task or route. Search for an existing rule or section before adding another; elsewhere, use a pointer.
- 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>.
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.
- 5d ago First seen · 21 lines · 779 tokens per session scan A fc3697a8301b
pixellab-pip AGENTS.md is an instructions file published in the GitHub repository Shilo/pixellab-pip (23 stars, last pushed 9d ago), licensed MIT. It adds 779 tokens to every session, about $0.0039 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.
Other instructions, from other repositories
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AGENTS.md instructions for datit309/supergraph, covering supergraph — mandatory workflows, skills, auto language detection, tiered workflow — pick the right tier first and full pipeline (tier 3).
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AGENTS.md instructions for perhapsspy/project-legibility, covering agents.md and 검증.
lianhuanhua-skills AGENTS.md
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quantcoder-plugin GEMINI.md
Gemini CLI instructions for nutdnuy/quantcoder-plugin: Follow AGENTS.md. Use skills/quantcoder-research/SKILL.md as the primary task guide for QuantCoder research-paper to QuantConnect workflows.
pinescript-plugin GEMINI.md
Gemini CLI instructions for jpantsjoha/pinescript-plugin, covering gemini.md — pinescript-plugin (always-on rules), the rule, do not guess parameter names, overloads are real and the language moves in both directions.