What is growth-percentile-skill AGENTS.md?

Repository instructions for a tool that calculates pediatric growth percentiles using CDC and WHO reference data. Percentiles show how a child's measurement compares with children of the same age and sex.

Use them when changing the calculation engine, data adapters, agent-skill wrapper, tests, evaluations, or plugin validation.

They ensure the agent uses the tested calculation engine instead of manually estimating medical measurements, which could produce incorrect results.

How smallinaUCSD/growth-percentile-skill configures Claude Code and Co

Reuse

Borrowing it

Nothing to install: this file belongs to smallinaUCSD/growth-percentile-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.

Copy the file

curl -O https://raw.githubusercontent.com/smallinaUCSD/growth-percentile-skill/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/smallinaUCSD/growth-percentile-skill

Made for: Claude Code, Codex, OpenCode.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/smallinaucsd/growth-percentile-skill/agents-md/github.svg)](https://agentmods.dev/instructions/smallinaucsd/growth-percentile-skill/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/smallinaucsd/growth-percentile-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/smallinaucsd/growth-percentile-skill/agents-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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/smallinaucsd/growth-percentile-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/smallinaucsd/growth-percentile-skill/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 962 This file is loaded in full into every session.

When invoked 962 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.

Model	Per session	Once invoked
Fable 5.1	$0.00962	$0.00962
Opus 5	$0.00481	$0.00481
Sonnet 5	$0.00192	$0.00192
Haiku 4.5	$0.00096	$0.00096

Measured 9d ago against content hash 7997d5c5d563, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

growth-percentile-skill 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 9d 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.

AGENTS.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Instructions for any coding agent working on this repository (not to be confused with SKILL.md, which is what an agent reads to use this project as a skill).

What this is

A deterministic engine (scripts/growth.py) that computes CDC/WHO pediatric growth percentiles, plus ingestion adapters (adapters/) and an Agent Skill wrapper (SKILL.md). The one rule that shapes everything else: the model never does the arithmetic. If you're tempted to compute or approximate a percentile, z-score, or LMS parameter yourself instead of running the engine, don't — see references/METHODOLOGY.md for why, and EVALUATION.md for a real case where an agent violated this and got caught.

Commands

uv sync                       # install deps
uv run pytest                 # full test suite (must pass before any PR)
uv run evals/run_eval.py --all   # agent-behavioral eval suite

If you're working via Claude Code specifically (this repo also ships as a Claude Code plugin, see .claude-plugin/): claude plugin validate . validates the plugin/marketplace manifests. There's no cross-agent equivalent for this one step since those manifests are a Claude Code distribution mechanism, not something every agent needs to touch.

No lint/format tooling is configured yet — don't invent one unilaterally.

Hard constraints (not enforced by CI beyond the checksum gate)

Never edit files under tests/golden/ to make a failing test pass. A failing golden test means the engine changed incorrectly, not that the fixture is wrong. See CONTRIBUTING.md for the full policy and the checksum-regeneration step if a change is legitimately warranted.
scripts/growth.py and adapters/ stay deterministic and offline. No network calls, no datetime.now()/system-locale dependence, no randomness.
Adapters output plain dicts, not engine objects. They must not import scripts/growth.py's calculation internals — see "Adding an adapter" in CONTRIBUTING.md for why.
Changes to references/data/*.csv require updating the matching row in references/DATA_SOURCES.md (new checksum, retrieval date) in the same commit.
A version bump touches four files at once — see RELEASING.md.

Read the full file on GitHub · 77 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.

9d ago First seen · 77 lines · 962 tokens per session scan A 7997d5c5d563

Subscribe to this mod's changes

growth-percentile-skill AGENTS.md is an instructions file published in the GitHub repository smallinaUCSD/growth-percentile-skill (2 stars, last pushed 2mo ago), licensed MIT. It adds 962 tokens to every session, about $0.0048 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 2026-08-31.

Scientific

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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

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vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

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growth-percentile-skill: Instructions file for Claude Code