make

A helper for listing and running targets from a Makefile, a project file that names repeatable commands such as tests, builds, and setup tasks.

In plain words
What is it for?
Use it to inspect Makefile targets or run tasks such as linting, testing, formatting, type checking, setup, and builds.
Why use it?
It makes available project workflows visible and reduces the need to remember the exact command for each one.

Skill for Claude CodeCodex

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/benjaminr/cc-makefile/make
Any agent
npx skills add benjaminr/cc-makefile --skill make
Clone the repo
git clone --depth 1 https://github.com/benjaminr/cc-makefile

Made for: Claude Code, Codex.

Per session 8 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 162 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 $0.00008 $0.00162
Opus 5 $0.00004 $0.00081
Sonnet 5 $0.00002 $0.00032
Haiku 4.5 $0.00001 $0.00016

Measured yesterday against content hash 7e24cea0293d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

make 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.

skills/make/SKILL.md · 17 lines

What it actually says

If arguments are given, run make $ARGUMENTS via Bash.

If no target is specified, show the project's available workflows from the Makefile target table in session context. Group by permission level (read, write, danger). Include the recipe column — it shows what each target actually runs and helps the user decide.

Suggest targets that are relevant to what the user has been doing:

  • Wrote or changed code → lint, test, format, typecheck
  • Starting on the project → setup, install, dev
  • Investigating the project → help, status, list
  • Preparing to ship → build, test
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 · 17 lines · 8 tokens per session scan A 7e24cea0293d

Subscribe to this mod's changes

make is a skill published in the GitHub repository benjaminr/cc-makefile (1 stars, last pushed 5mo ago), licensed MIT. It adds 8 tokens to every session and 162 once invoked, about $0.0000 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 2026-08-31.

Related

Other skills, from other repositories

python-cli-guidelines

Production-tested patterns for building Python CLI tools using Typer, Pydantic, and UV.

wislertt/bakefile · 0 tokens

skill-developer

Create and manage Claude Code skills following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, trigger types (keywords…

wislertt/bakefile · 97 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens