skill-engineering

skill-engineering is a skill for Claude Code, Codex from xobotyi/cc-foundry. It costs 26 tokens per session (2,094 once invoked), scanned A, original, MIT.

A guide for creating and maintaining Agent Skills: reusable instructions that help a coding agent follow procedures reliably.

In plain words
What is it for?
Use it to design skill metadata and content, organize references and scripts, evaluate whether a skill works, and prepare it for distribution.
Why use it?
It helps decide when instructions belong in a skill and how to keep them focused, enforceable, testable, and distributable.

Skill for Claude CodeCodex

Part of the ai-helpers plugin — 5 skills shipped together

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/xobotyi/cc-foundry/skill-engineering
Any agent
npx skills add xobotyi/cc-foundry --skill skill-engineering
Clone the repo
git clone --depth 1 https://github.com/xobotyi/cc-foundry

Made for: Claude Code, Codex.

Or install ai-helpers, the plugin that ships this one along with the rest of its 5 skills.

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.

agentmods badge for skill-engineering

README.md
[![agentmods](https://agentmods.dev/badge/skills/xobotyi/cc-foundry/skill-engineering.svg)](https://agentmods.dev/skills/xobotyi/cc-foundry/skill-engineering)
Your own site
<a href="https://agentmods.dev/skills/xobotyi/cc-foundry/skill-engineering"><img src="https://agentmods.dev/badge/skills/xobotyi/cc-foundry/skill-engineering.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,094 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.

ModelPer sessionOnce invoked
Fable 5 $0.00026 $0.02094
Opus 5 $0.00013 $0.01047
Sonnet 5 $0.00005 $0.00419
Haiku 4.5 $0.00003 $0.00209

Measured 3d ago against content hash 5d4e2a110a04, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill-engineering 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 3d 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.

plugins/ai-helpers/skills/skill-engineering/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

A skill stabilizes a procedure the agent performs unreliably. It is not a place for knowledge the model already has, and it is not documentation. Value concentrates in procedural anchoring — setup order, tool sequence, the check that catches a specific failure — not in explanation.

Decide whether the behavior belongs in a skill

  • Write a skill only where the model fails the procedure without it. Skills pay off where the model is weak and cost where it is already competent: a skill on a task the model already handles adds tokens, adds an applicability judgment it can get wrong, and narrows the recovery path it would otherwise have found.
  • One skill per procedure a user would name in a single request. If one request needs two of these skills, they are one skill; if one skill answers two unrelated requests, it is two.
  • Put a prohibition that must hold every time in a hook. Prose steers; the host's lifecycle mechanism enforces.
  • Put work that needs a clean context and returns a summary in a subagent, and connection to an external system in a tool or server. Skills carry procedure; tools carry capability.

Archetype and scoping — the workflow, knowledge, and coding-discipline shapes with their structural templates, the scope-sizing tests, negative triggers, and skill composition: [${CLAUDE_SKILL_DIR}/references/archetypes.md]. Read it before writing the body, because the archetype decides the structure.

Write the description as routing code

The description is the only part of a skill that is always in context, and it is where most skills fail: over half of public skills carry routing metadata that cannot route.

  • Use the form [Verb] [what]. Use when [trigger]. A description that says only what the skill does gives the model nothing to fire on.
  • Discriminate against the neighbors. Name the boundary that separates this skill from the sibling that matches the same words. Selection precision collapses as the candidate pool grows — from roughly 30% at five candidates to a few percent at a hundred — so a description competes, it does not merely describe.
  • Front-load the use case and keep it under 250 characters. Listings are budgeted and truncate.
  • Write the triggers in the words a user would type, including the case where the user never names the domain.
  • Keep routing information out of the body and write it in third person. The body is read after the routing decision is made, and a mixed point of view degrades discovery.

Read the full file on GitHub · 138 lines

Files

What ships with it

8 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.

  1. 3d ago First seen · 138 lines · 26 tokens per session scan A 5d4e2a110a04

Subscribe to this mod's changes

skill-engineering is a skill published in the GitHub repository xobotyi/cc-foundry (20 stars, last pushed 3d ago), licensed MIT. It adds 26 tokens to every session and 2,094 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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