project

project is a skill for Claude Code from ulises-jeremias/agent-toolkit. It costs 31 tokens per session (808 once invoked), scanned A, original, MIT.

A project-management tool for cloning, indexing, and accessing multiple code repositories from a shared local workspace.

In plain words
What is it for?
Use it to clone repositories, list indexed projects, create project links, and prepare repositories for multi-agent work.
Why use it?
It gives agents consistent names and locations for repositories, reducing confusion when work spans several codebases.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions AGENTS.md; mentions OpenCode.

Part of the agent-toolkit-complete plugin — 116 skills shipped together

Good fit Use it to clone repositories, list indexed projects, create project links, and prepare repositories for multi-agent work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ulises-jeremias/agent-toolkit/project
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 ulises-jeremias/agent-toolkit --skill project
Clone the repo
git clone --depth 1 https://github.com/ulises-jeremias/agent-toolkit

Made for: Claude Code.

Or install agent-toolkit-complete, the plugin that ships this one along with the rest of its 116 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 project

README.md
[![agentmods](https://agentmods.dev/badge/skills/ulises-jeremias/agent-toolkit/project.svg)](https://agentmods.dev/skills/ulises-jeremias/agent-toolkit/project)
Your own site
<a href="https://agentmods.dev/skills/ulises-jeremias/agent-toolkit/project"><img src="https://agentmods.dev/badge/skills/ulises-jeremias/agent-toolkit/project.svg" alt="Measured on agentmods" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 808 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 43
    Code scans file system directories looking for sensitive files. This could be reconnaissance for credential theft.
    Fix: Remove unnecessary filesystem scanning. If file access is needed, use explicit, scoped paths. Avoid reading ~/.ssh, ~/.aws, or credential directories.
How audits are shown
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 $0.00031 $0.00808
Opus 5 $0.00015 $0.00404
Sonnet 5 $0.00006 $0.00162
Haiku 4.5 $0.00003 $0.00081

Measured 4d ago against content hash 267f5549391c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

project 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 4d 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.

plugins/agent-toolkit-complete/.github/skills/project/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.

Project

Manage the local multi-repo registry (~/.ai-workspace/repos/ and projects/ symlinks) so swarms and agents can target any repo by name, not path.

When to use

  • User says "clone X", "add repo Y", "list projects", or references owner/repo without a local path.
  • Swarm needs --workspace /path/to/repo that isn't yet cloned.
  • Workspace context shows missing projects/ symlink for a repo referenced in a prompt.

Prerequisites

  • agent-toolkit with project subcommand (agent-toolkit project --help).
  • gh authenticated for private repos (gh auth status).
  • Workspace has repos/github.com/<owner>/<repo> layout.

Workflow

1. Clone and index

agent-toolkit project clone owner/my-repo          # clone + symlink projects/my-repo -> repos/github.com/owner/my-repo
agent-toolkit project clone owner/my-repo --branch feat/x
# Alias resolution: swarm's config.py also resolves_owner_repo from prompt URLs like https://github.com/owner/repo

# Verify
agent-toolkit project list                         # indexed projects
ls -l ~/.ai-workspace/projects
ls ~/.ai-workspace/repos/github.com/owner/my-repo

2. Use with swarm and other skills

# Swarm can target any indexed repo via --workspace
agent-toolkit swarm start --recipe pair --ui herdr --runner opencode --model-profile balanced --workspace ~/.ai-workspace/repos/github.com/owner/my-repo --attach "task"
# Inside a cloned repo, just run from its directory — swarm's find_repo_root uses git rev-parse --git-common-dir

# Assistant discovery before swarm
# (assistant skill: README -> docs/ -> AGENTS.md -> CONTRIBUTING -> PR templates -> Makefile/package.json -> devcontainer -> CI -> configs)

3. Scan and sync

agent-toolkit project scan                         # re-index repos/ -> projects/
agent-toolkit project list --json | jq
agent-toolkit workspace context --json | jq '.repos'

4. Multi-repo swarms

For cross-repo tasks, clone all targets first, then launch swarms per repo with handoffs referencing the correct --workspace or AGENT_TOOLKIT_SWARM_REPO env:

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. 4d ago First seen · 90 lines · 31 tokens per session scan A 267f5549391c

Subscribe to this mod's changes

project is a skill published in the GitHub repository ulises-jeremias/agent-toolkit (16 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 808 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 2026-09-04.

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