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A model-agnostic agent-skills platform.
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
来源文件:README.md
A model-agnostic agent-skills platform. The canonical layer is harness-free by construction; Claude Code is currently the verified-native harness. Other harnesses remain engineering candidates until their native-path integration is verified; source research alone is never presented as public support.
Inside Claude Code, one command installs the whole marketplace:
/plugin marketplace add jeremylongshore/claude-code-plugins
Or use the CLI:
pnpm add -g @intentsolutionsio/ccpi
ccpi install devops-automation-pack
Browse the marketplace · Explore plugins · Download bundles
Killer Skill of the Week — no-ai-slop by Peter Yang
Strip AI slop from any draft — named-pattern edits that keep the writer's real voice
no-ai-slop does two jobs and refuses to fake a third. In Edit mode it makes the minimum effective edit — cutting throat-clearing, weak verbs, and abstract nouns while deliberately preserving the writer's cadence, bluntness, humor, and honest admissions, so a rough draft still sounds like the same person afterward. In Detect mode it names each AI-slop pattern it finds, quotes the offending line, and gives the fix in a few words — and pointedly does NOT score the draft or guess whether an AI wrote it. That restraint is the whole point: AI detectors guess; named patterns are evidence the reader can check. MIT-licensed, single focused skill, actively maintained by Peter Yang.
"AI detectors guess. Named patterns are evidence the user can check." — Peter Yang
Grade: A | Week of July 22, 2026 (W30) | View on GitHub
Previous picks: tonone, mnemos, databricks-pack, kobiton-automate, skyvern, code-cleanup, web-analytics, token-optimizer, executive-assistant-skills, skill-creator, cursor-pack, crypto-portfolio-tracker. See all at tonsofskills.com.
Every number below names the cohort it counts and the command that reproduces it — an unlabeled count is how a corpus ends up with five contradictory answers to "how many skills."
| Count | Cohort | Reproduce with |
|---|---|---|
| 442 | catalog plugins (catalog-entry cohort) | node scripts/generate-readme-toc.mjs over marketplace.extended.json |
| 3,067 | marketplace-visible skills (distinct) | node -e "import('./scripts/corpus-resolver.mjs').then(m=>console.log(m.resolveCorpus('marketplace-visible').length))" |
| 347 | agent definitions in plugins | git ls-files 'plugins/**' | grep '/agents/.*\.md' |
| 19 | plugin categories | ls -d plugins/*/ |
Across 396 published packages in the claude-code-plugins namespace. Updated daily by GitHub Actions.
| Window | All packages | Established (>30d) |
|---|---|---|
| Last 24 hours | 962 | 962 |
| Last 7 days | 2,920 | 2,916 |
| Last 30 days | 12,868 | 12,779 |
"Established" excludes packages first published within the last 30 days, so a bulk-publish event doesn't dominate the headline.
Top 10 by last 30 days:
Last refreshed 2026-08-19T03:03:05.709Z.
Five real questions, five doors — each resolves to a live, generated surface, never a hand-maintained list:
The 19 categories below link into the live marketplace. Plugin counts are the catalog-entry cohort — regenerated from marketplace.extended.json by this generator; the catalog itself lives on tonsofskills.com, never in this file (§ 6A of the platform blueprint).
| Category | Plugins | |
|---|---|---|
| 🤖 | AI & Machine Learning | 36 |
| 🎭 | AI Agents & Agency | 10 |
| 🔌 | API Development | 26 |
| 💼 | Business Tools | 6 |
| 👥 | Community | 21 |
| ₿ | Crypto & Web3 | 27 |
| 💾 | Database | 26 |
| 🎨 | Design | 2 |
| 🔧 | DevOps & Infrastructure | 36 |
| 📚 | Examples & Templates | 5 |
| 🧩 | MCP Servers | 16 |
| 📦 | Packages | 5 |
| ⚡ | Performance | 25 |
| ✅ | Productivity | 30 |
| 🎁 | SaaS Skill Packs | 106 |
| 🔐 | Security | 27 |
| ✨ | Skill Enhancers | 9 |
| 🧪 | Testing | 28 |
| 📁 | Analytics | 1 |
Four artifact classes live in this repository, distinguished on sight and never blurred — provenance is a truth requirement here, not a UX nicety:
| Class | What it is | How the reader can tell |
|---|---|---|
| Canonical skill | First-party, harness-free, the source of truth | No .source.json in its plugin directory |
| Generated adapter | A thin, machine-produced harness projection | Lives under a generated path with a "generated — do not edit" header |
| First-party package | An Intent Solutions distribution (npm, cowork zip) | @intentsolutionsio scope, IS-authored license |
| Upstream mirror | Somebody else's work, hosted mirror-by-default | .source.json present — upstream author, license, and pinned commit recorded |
Not yet certified. The certification program (tiers T0–T4 with retained, hash-matched evidence) is a later epic of the platform blueprint; until its report exists, no artifact on this surface claims a tier. This line is rendered from the absence of certification-report.json — honestly, not cosmetically.
Start with the contribution guide, then the intake and review standards every submission passes through:
External plugins are hosted mirror-by-default: the contributor's repository stays the source of truth, every mirrored source is pinned in a content lockfile, and upstream credit — author, license, resolved commit — is recorded in the mirror itself. Improvements flow by upstreaming to the author's repository, never by silently editing the mirror. The full decision record is the external-sync model.
MIT for the repository scaffolding and first-party tooling; each plugin carries its own license in its manifest, and mirrored plugins keep their upstream license verbatim.
name: agent-safety-preflight
description: |
Generate a local repository risk receipt before Claude Code or other AI-agent edits.
Use when the user asks to prepare a repository for agent changes, check for risky
hooks or credential-writing automation, or run the /agent-preflight command.
Trigger with "run agent preflight", "check this repo before agent edits", or
"/agent-preflight".
argument-hint: "[repo-path]"
allowed-tools: Read, Bash(git:*), Bash(python3:*)
version: 1.0.0
author: Signal Loom Works <194151508+el-zachariah@users.noreply.github.com>
license: MIT
compatibility: Designed for Claude Code
tags:
- security
- agent-safety
- claude-code
- preflightAgent Safety Preflight helps Claude inspect a local repository before making AI-agent-assisted edits. It produces a compact Green, Yellow, or Red risk receipt from local files only, with special attention to destructive shell patterns, credential-writing automation, agent authority surfaces, uncommitted changes, and unavailable git state.
The skill pairs with the /agent-preflight command in this plugin. Prefer the bundled lightweight scanner when it is available from a trusted Claude install root, then explain the decision and next safe action before editing.
agent_preflight_lite.py scanner.Do not send source, secrets, tokens, private repository contents, payment credentials, or environment variables to external services while using this skill.
Read only for local documentation or configuration files that explain the workspace; do not copy private source into the response./agent-preflight when the command is installed, or invoke the bundled scanner from a trusted Claude install root.Return a short receipt in Markdown that is safe to paste into the local work log or pull request notes:
## Agent Safety Preflight Receipt
- Decision: Green | Yellow | Red
- Repository: <path>
- Git state: clean | dirty | unavailable
- Risk buckets: <bullets>
- Evidence: <file/path markers>
- Next safe action: proceed | checkpoint | stop
.claude/, .cursor/, .github/, shell scripts, JSON/YAML/TOML config, package manifests, and environment files.User request: "Run a preflight before you update this README."
The skill runs the scanner, sees a clean git state and no high-risk automation markers, then returns Green with the repository path and evidence summary.
User request: "Check this repo before the agent refactor."
The skill detects agent hook configuration or broad tool permissions, returns Yellow, and recommends a checkpoint or narrower edit scope before continuing.
User request: "Start editing this generated-project repo."
The skill finds a destructive recursive delete pattern in an automation file, returns Red, and stops until a human reviews the workflow.
plugins/security/agent-safety-preflight/commands/agent-preflight.mdplugins/security/agent-safety-preflight/scripts/agent_preflight_lite.pyreferences/decision-rules.md
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