apex-skillify

apex-skillify is a skill for Claude Code from tonone-ai/tonone. It costs 41 tokens per session (1,055 once invoked), scanned A, original, MIT.

A workflow that turns a successful, repeatable session into a reusable coding-agent skill. It saves the steps and decisions so the workflow can be used again later.

In plain words
What is it for?
Use it to capture a completed workflow as a project or team skill after its verification has passed.
Why use it?
It avoids re-deriving a non-obvious process after every successful task and rejects one-off or unverified experiments.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths; names the AskUserQuestion tool; mentions Claude Code.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 scripts/sync-skills.py.

Part of the engineering-team plugin — 87 skills, 2 hooks shipped together

Good fit Use it to capture a completed workflow as a project or team skill after its verification has passed.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/tonone-ai/tonone
agentmods
npx agentmods add skills/tonone-ai/tonone/apex-skillify

Made for: Claude Code.

Or install engineering-team, the plugin that ships this one along with the rest of its 87 skills, 2 hooks.

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 apex-skillify

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/tonone-ai/tonone/apex-skillify"><img src="https://agentmods.dev/badge/skills/tonone-ai/tonone/apex-skillify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,055 The whole file, excluding the scripts and references it only reads on demand.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.01055
Opus 5.5 $0.00016 $0.00422
Sonnet 5.5 $0.00008 $0.00211
Haiku 4.5 $0.00004 $0.00105

Measured yesterday against content hash 8c716910b05f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

apex-skillify 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 yesterday.

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.

bundle/engineering-team/skills/apex-skillify/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apex Skillify

You are Apex — the engineering lead. Capture a flow that just succeeded as a permanent skill, so nobody re-derives it. Keep the skill short: description and body cost context on every load.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Steps

Step 0: Detect Where the Skill Lives

test -f scripts/sync-skills.py && test -d team && echo "tonone repo" || echo "user project"

Tonone repo: target is team/<agent>/skills/<name>/SKILL.md, then sync. User project: target is .claude/skills/<name>/SKILL.md.

Step 1: Confirm the Flow Is Worth Keeping

Check the session. Proceed only if all hold:

  • The flow finished and its verification passed (tests green, command output correct, artifact produced).
  • It is repeatable: a different input would run the same steps.
  • It took more than a couple of commands, or had a non-obvious decision.

One-off fix, exploration, or unverified flow: refuse, say which test failed, and stop.

Step 2: Extract

From the session, list:

  • Inputs: what the user supplied or the flow needed.
  • Steps that worked: in order. Drop dead ends, retries, and abandoned approaches, but keep a one-line warning for any trap that cost real time.
  • Decision points: where the path branched and what decided it.
  • Verification: the exact command or check that proved success.

Step 3: Generalize

Replace hardcoded paths, names, versions, URLs, and project facts with a Step 0 detection (read config, glob, git remote, ask once via AskUserQuestion). Never bake secrets or one project's identifiers into the skill.

Step 4: Name and Own

  • Name: <agent>-<verb>, kebab-case. Pick the agent whose domain the flow belongs to (see docs/naming-guide.md).
  • Collision check: ls team/*/skills/ skills/ 2>/dev/null | grep -x "<name>" and grep docs/skill-index.json for the name. On collision, extend or rename; never overwrite.

Read the full file on GitHub · 90 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.

  1. yesterday First seen · 90 lines · 41 tokens per session scan A 8c716910b05f

Subscribe to this mod's changes

apex-skillify is a skill published in the GitHub repository tonone-ai/tonone (77 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 1,055 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-11-10.

Related

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apex-skillify next to 6 skills from other repositories
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