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.
npx skills add claude-world/director-mode-lite --skill agentsgit clone --depth 1 https://github.com/claude-world/director-mode-liteWrote 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.
[](https://agentmods.dev/skills/claude-world/director-mode-lite/agents)<a href="https://agentmods.dev/skills/claude-world/director-mode-lite/agents"><img src="https://agentmods.dev/badge/skills/claude-world/director-mode-lite/agents/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.
<a href="https://agentmods.dev/skills/claude-world/director-mode-lite/agents"><img src="https://agentmods.dev/badge/skills/claude-world/director-mode-lite/agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.00555 |
| Opus 5.5 | $0.00012 | $0.00222 |
| Sonnet 5.5 | $0.00006 | $0.00111 |
| Haiku 4.5 | $0.00003 | $0.00056 |
Grade A, and why
agents 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.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Available Agents
List all agents available in Director Mode Lite.
Core Agents
| Agent | Purpose |
|---|---|
code-reviewer |
Reviews code for quality, security, and best practices after changes or on PRs |
debugger |
Root-cause analysis for errors, test failures, and unexpected behavior |
doc-writer |
Creates and maintains README, API docs, and code comments |
Expert Agents
| Agent | Purpose |
|---|---|
claude-md-expert |
CLAUDE.md design patterns, best practices, and project configuration |
mcp-expert |
MCP server configuration, troubleshooting, and discovery |
agents-expert |
Creating, configuring, and using custom agents |
skills-expert |
Creating, configuring, and managing custom skills and commands |
hooks-expert |
Designing and troubleshooting PreToolUse/PostToolUse hooks |
Self-Evolving Agents
Used by /evolving-loop to run the autonomous development cycle.
| Agent | Purpose |
|---|---|
evolving-orchestrator |
Coordinates the loop phases and manages memory; returns brief summaries |
requirement-analyzer |
Extracts acceptance criteria, complexity, and implementation strategy |
skill-synthesizer |
Generates tailored executor, validator, and fixer skills |
completion-judge |
Evaluates validation results and decides continue / evolve / ship |
experience-extractor |
Analyzes successes and failures to extract improvement suggestions |
skill-evolver |
Applies learning insights to produce improved skill versions |
How Agents Work
- Auto-activate based on context
- Follow specific methodologies
- Provide structured output
- Can be explicitly invoked
Using Agents
"Use code-reviewer to check src/auth/"
"I need the debugger - tests are failing"
"Have doc-writer update the API docs"
Creating Custom Agents
---
name: my-agent
description: What this agent does, and when to use it
color: blue
tools:
- Read
- Grep
- Glob
- Bash
model: sonnet
---
# Agent Name
## When to Activate
## Process
## Output Format
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.
- 1mo ago First seen · 92 lines · 29 tokens per session scan A 587b5830b0fa
agents is a skill published in the GitHub repository claude-world/director-mode-lite (80 stars, last pushed 3d ago), licensed MIT. It adds 29 tokens to every session and 555 once invoked, about $0.0001 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 2026-08-30.
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concise
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session-recap
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kb-ingest
Ingest external sources into the knowledge bank through interactive study or quick filing. Two modes — Quick (summarize → file) and Study (theme-by-theme deep dive with online research and personal notes → multi-layer KB output → optional blog/slack synthesis). Triggers on "ingest this", "study this article", "add to…
kb-lint
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session-manager
Set the current session's name, project, tags, or summary on its session note. Use when the user names, tags, or summarizes this session, sets its project, or mentions in passing what this session has been about.