skillify

skillify is a skill for Codex from jscraik/Agent-Skills. It costs 76 tokens per session (2,879 once invoked), scanned C, original, Apache-2.0.

A workflow for turning a completed coding-agent process into a reusable skill package. It studies the workflow, asks structured questions, and writes a validated skill file.

In plain words
What is it for?
Use it to capture and operationalize a repeatable workflow as a SKILL.md package.
Why use it?
It preserves a useful process so it can be repeated consistently instead of recreated from memory.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents; mentions AGENTS.md; mentions Codex.

Good fit Use it to capture and operationalize a repeatable workflow as a SKILL.md package.

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Install with agentmods
npx agentmods add skills/jscraik/agent-skills/skillify
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.

Any agent
npx skills add jscraik/Agent-Skills --skill skillify
Clone the repo
git clone --depth 1 https://github.com/jscraik/Agent-Skills

Made for: Codex.

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 skillify

README.md
[![agentmods](https://agentmods.dev/badge/skills/jscraik/agent-skills/skillify/github.svg)](https://agentmods.dev/skills/jscraik/agent-skills/skillify)
Your own site
<a href="https://agentmods.dev/skills/jscraik/agent-skills/skillify"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/skillify/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.

agentmods 80×15 button for skillify

Your own site · 80×15
<a href="https://agentmods.dev/skills/jscraik/agent-skills/skillify"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/skillify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,879 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 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 $0.00076 $0.02879
Opus 5.5 $0.00030 $0.01152
Sonnet 5.5 $0.00015 $0.00576
Haiku 4.5 $0.00008 $0.00288

Measured 1mo ago against content hash ec85617c3440, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

skillify scanned grade C with 2 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 1mo 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

`wget`, `curl`, `rm -rf`, `nc`, or `netcat`, refuse or block that

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

`wget`, `curl`, `rm -rf`, `nc`, or `netcat`, refuse or block that
Plugins/skill-factory/skills/scaffolding_templates/skillify/SKILL.md · 230 lines

How it starts

The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skillify

Turn a proven workflow into a reusable skill package. Preserve repeatable behavior, not transcript noise.

Philosophy

Start with 2-3 focused surfaces and capture the smallest validated workflow.

First-Principles Gate

  • Desired outcome: create only the smallest reusable skill package that has evidence, triggers, boundaries, evals, and a validation route.
  • User-specific constraints: interview for missing evidence, prefer Skill SDK package shape, avoid packaging transcript noise, and use the SDK proof ladder before release claims.
  • Rejected copied assumption: any repeated workflow deserves a new skill.
  • Fundamental constraints: repeatability must be evidenced; destination and owner must be known; the package must include contract and evals.
  • Smallest effective mechanism: build, skip, extend, or document based on first-principles artifact fit.
  • Artifact decision: BUILD_SKILL.
  • Rejected alternatives: creating a skill without owner or trigger proof, using broad discovery as proof, or publishing before validation.
  • Evidence required: source evidence, first package validation, strict audit, and scenario-quality receipt.
  • Validation proof: run strict audit and ./bin/ask skills package verify <skill-path> --json --robot before broader release checks.
  • Stop or pivot condition: if source evidence cannot prove triggers, inputs, outputs, and validation, return a plan and block creation.

When To Use

  • The user asks to skillify, create a skill, save a workflow, package a process, or make reusable guidance.
  • The user asks to look across recent work, sessions, memories, telemetry, or Chronicle for repeated workflows worth packaging.
  • A completed session has repeatable triggers, known inputs, expected outputs, and a validation route.
  • The output should be a canonical skill package, not a one-off answer, doc note, or hook.

Required Inputs

  • Source evidence or permission to discover it, destination path, owner, success criteria, side-effect class, one realistic trigger, and one validation command.

Read the full file on GitHub · 230 lines

Files

What ships with it

10 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. 1mo ago Changed · +217 lines · +19 tokens per session scan A → C ec85617c3440
  2. 1mo ago First seen · 13 lines · 57 tokens per session scan A e76ec5a6c21d

Subscribe to this mod's changes

skillify is a skill published in the GitHub repository jscraik/Agent-Skills (9 stars, last pushed 4d ago), licensed Apache-2.0. It adds 76 tokens to every session and 2,879 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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