add-badges

add-badges is a skill for Claude Code from wyattowalsh/agents. It costs 40 tokens per session (3,309 once invoked), scanned A, original, MIT.

A tool that detects a project's technology stack and creates Shields.io badges for its README. README files are project introductions that commonly show information such as build status, package versions, or licenses.

In plain words
What is it for?
Use it to add, replace, preview, or remove badges in a README. It can also use live badge endpoints when those are requested or detected.
Why use it?
It reduces the manual work of choosing badge types, finding their icons and colours, and keeping the badge section consistent.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the agents plugin — 71 skills, 20 agents, 5 hooks shipped together

Good fit Use it to add, replace, preview, or remove badges in a README. It can also use live badge endpoints when those are requested or detected.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wyattowalsh/agents/add-badges
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 wyattowalsh/agents --skill add-badges
Clone the repo
git clone --depth 1 https://github.com/wyattowalsh/agents

Made for: Claude Code.

Or install agents, the plugin that ships this one along with the rest of its 71 skills, 20 agents, 5 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 add-badges

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/wyattowalsh/agents/add-badges"><img src="https://agentmods.dev/badge/skills/wyattowalsh/agents/add-badges.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,309 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 $0.00040 $0.03309
Opus 5 $0.00020 $0.01655
Sonnet 5 $0.00008 $0.00662
Haiku 4.5 $0.00004 $0.00331

Measured 9d ago against content hash bad9503e307d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

add-badges 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 9d ago.

The scan reads SKILL.md. This mod also ships 10 executable files (scripts/asset_toolkit/__init__.py, scripts/asset_toolkit/_shared.py, scripts/asset_toolkit/common.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/add-badges/SKILL.md · 234 lines

How it starts

The opening of the file, as written. The whole thing — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Add Badges

Generate and update README badge blocks without drifting into general README editing.

Dispatch

$ARGUMENTS Action
Empty Show the empty/help gallery and ask for the target repo or README path
Flags or natural-language badge request Run the full badge workflow: detect -> select -> present -> insert
--dry-run with any request Run through preview only and stop before file edits
removal-only request Skip detection, inspect the existing badge block, and present the reduced set

When $ARGUMENTS is empty, show the main usage shape plus examples:

  • /add-badges --profile active --dry-run
  • /add-badges --include status,package --readme README.md
  • /add-badges --replace --yes
  • /add-badges remove social badges

State the main phases and the write boundary:

  • Detect the repo and existing badge state
  • Select badges and layout based on flags and detected signals
  • Present the proposed block and diff indicators
  • Insert only after approval, unless --yes was explicitly passed

Progressive Disclosure

  • Keep SKILL.md focused on routing, phase order, approval boundaries, and flag semantics.
  • Read references/badge-catalog-core.md on every run.
  • Read references/badge-catalog-extended.md only when non-basic signals are detected.
  • Read references/style-guide.md only when layout, format-specific syntax, or dark-mode output matters.
  • Use scripts/detect.py for repository detection and scripts/validate-badges.py only after insertion when verification is requested.

Internal Phase 1 — Detect

Run the detection script via the Bash tool:

uv run python skills/add-badges/scripts/detect.py <path>

Parse the JSON output. The script detects: repo info, languages, package managers, frameworks, CI/CD, infrastructure, code quality, testing, docs, license, release, security, community, developer tooling, databases, monorepo signals, and existing badges.

If the script fails (uv unavailable, Python missing, script error, invalid JSON), fall back to manual detection:

  • Glob for manifest files (pyproject.toml, package.json, go.mod, Cargo.toml, etc.)
  • Read .git/config or run git remote get-url origin for owner/repo
  • Glob .github/workflows/*.yml for CI badge candidates
  • Read LICENSE first line for SPDX type
  • Check for Dockerfile, .pre-commit-config.yaml, codecov.yml, etc.

Read the full file on GitHub · 234 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. 9d ago First seen · 234 lines · 40 tokens per session scan A bad9503e307d

Subscribe to this mod's changes

add-badges is a skill published in the GitHub repository wyattowalsh/agents (5 stars, last pushed 6d ago), licensed MIT. It adds 40 tokens to every session and 3,309 once invoked, about $0.0002 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

systematic-debugging

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

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 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

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens