A skill whose files are all placed directly in one folder instead of the usual directory structure.

Use it to check references to a guide, an extraction script, and a formatting template in a flat skill.

It helps test whether a validator notices that files are arranged differently from the expected layout.

flat-skill — Skill by agent-ecosystem

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.

agentmods

npx agentmods add skills/agent-ecosystem/skill-validator/flat-skill

Any agent

npx skills add agent-ecosystem/skill-validator --skill flat-skill

Clone the repo

git clone --depth 1 https://github.com/agent-ecosystem/skill-validator

Made for: Claude Code, Codex.

Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 81 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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	$0.00018	$0.00081
Opus 5	$0.00009	$0.00041
Sonnet 5	$0.00004	$0.00016
Haiku 4.5	$0.00002	$0.00008

Measured 2d ago against content hash f75a9dc873a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

flat-skill 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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (extract.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

flat-skill — 100% identical, 0 lines differ

testdata/flat-skill/SKILL.md · 15 lines

What it actually says

Flat Skill

This skill uses a flat directory layout instead of the standard structure.

Usage

Refer to guide.md for detailed instructions on how to use this skill.

Run extract.py to extract data from the source, then apply template.txt to format the output.

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

2d ago First seen · 15 lines · 18 tokens per session scan A f75a9dc873a4

Subscribe to this mod's changes

flat-skill is a skill published in the GitHub repository agent-ecosystem/skill-validator (236 stars, last pushed 9d ago), licensed MIT. It adds 18 tokens to every session and 81 once invoked, about $0.0001 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.

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