using-skill-engine

using-skill-engine is a skill for Claude Code from nick-railsback/skill-engine. It costs 101 tokens per session (2,104 once invoked), scanned A, original, MIT.

An entry-point skill for Skill Engine, which checks whether the current project has a contextualizer installed and sends the request to the appropriate setup or workflow.

In plain words
What is it for?
Use it for first-time setup or when you mention Skill Engine without naming a specific workflow; it also checks for unfinished proposals.
Why use it?
It prevents you from having to know which Skill Engine workflow to run first.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: reads .claude/ paths; mentions Claude Code.

Part of the skill-engine plugin — 12 skills shipped together

Good fit Use it for first-time setup or when you mention Skill Engine without naming a specific workflow; it also checks for unfinished proposals.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nick-railsback/skill-engine/using-skill-engine
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 nick-railsback/skill-engine --skill using-skill-engine
Clone the repo
git clone --depth 1 https://github.com/nick-railsback/skill-engine

Made for: Claude Code.

Or install skill-engine, the plugin that ships this one along with the rest of its 12 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 using-skill-engine

README.md
[![agentmods](https://agentmods.dev/badge/skills/nick-railsback/skill-engine/using-skill-engine/github.svg)](https://agentmods.dev/skills/nick-railsback/skill-engine/using-skill-engine)
Your own site
<a href="https://agentmods.dev/skills/nick-railsback/skill-engine/using-skill-engine"><img src="https://agentmods.dev/badge/skills/nick-railsback/skill-engine/using-skill-engine/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 using-skill-engine

Your own site · 80×15
<a href="https://agentmods.dev/skills/nick-railsback/skill-engine/using-skill-engine"><img src="https://agentmods.dev/badge/skills/nick-railsback/skill-engine/using-skill-engine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,104 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 $0.00101 $0.02104
Opus 5.5 $0.00040 $0.00842
Sonnet 5.5 $0.00020 $0.00421
Haiku 4.5 $0.00010 $0.00210

Measured 1mo ago against content hash 60b789829617, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

using-skill-engine 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 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.

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.

plugin/skill-engine/skills/using-skill-engine/SKILL.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Using the skill engine

This is the entry-point skill. It detects whether the current directory holds a contextualizer that has already been set up, and routes to the matching workflow.

Routing

When invoked, do the following in order. A contextualizer is installed at one of three install levels: ~/.claude/skills/, ~/.claude/local/skills/, or <repo>/.claude/skills/ at the project level. The project level is not only the directory sitting at the repository root — it reaches any nested .claude/skills/ below it, so a contextualizer can live beside the slice of the code it describes. A contextualizer's research/.research-state.json is the canonical setup-state marker.

Resolve what is installed with the script in shared/locator-block.md, the engine's one root-resolution definition — this skill does not carry a root list of its own. The script exits on both the nothing-found and the several-found-and- none-named paths, so it leaves no count behind in a variable; run it with its enumeration flag and read its stdout instead:

ctx_all=$(bash -s -- --all <<'LOCATOR'
# …the fenced script from shared/locator-block.md, verbatim, with its
# name="<name>" line substituted to name="" …
LOCATOR
) && ctx_count=$(printf '%s\n' "$ctx_all" | grep -c '^/' || true) || ctx_count=0
[ "$ctx_count" -gt 0 ] || ctx_all=""
ctx_root=$(printf '%s\n' "$ctx_all" | head -n1)

Exit 0 means the enumeration printed one absolute path per line, and ctx_count is that line count. Any non-zero exit means none was found, so ctx_count is 0 and what landed on stdout is the script's own diagnostic sentence rather than a path — which is why ctx_all is cleared on that branch before anything reads it.

Pending-proposal pre-step (runs before case dispatch)

Before dispatching to a workflow, check for pending proposals — any *-context.proposed/ directory that DISCOVER or REFRESH left behind. A proposal is always staged as a sibling of the live contextualizer it was derived from, so the enumeration above is most of the input this needs: the install roots it names, deduplicated, are what gets searched. Each root is searched once, and the three fixed roots are searched whether or not the enumeration reached them:

Read the full file on GitHub · 167 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. 1mo ago Changed · +32 lines 60b789829617
  2. 1mo ago First seen · 135 lines · 101 tokens per session scan A dde346e1374c

Subscribe to this mod's changes

using-skill-engine is a skill published in the GitHub repository nick-railsback/skill-engine (2 stars, last pushed 6d ago), licensed MIT. It adds 101 tokens to every session and 2,104 once invoked, about $0.0004 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 2026-08-31.

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