agentmods.dev

claire-author-command

An assistant for creating and improving Claude Code slash commands. Slash commands are reusable instructions invoked with a command such as /namespace:verb.

In plain words
What is it for?
Use it to create a new command, repair a command that behaves incorrectly, or define its arguments and required tools.
Why use it?
It gives command design a consistent structure and checks current documentation and existing commands before making changes.

Agent

7 7mo ago A scan 51 tokens original MIT
View the source file poindexter12/waypoint
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 agents/poindexter12/waypoint/author-command
Clone the repo
git clone --depth 1 https://github.com/poindexter12/waypoint
Per session 51 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 488 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 $0.00051 $0.00488
Opus 5 $0.00026 $0.00244
Sonnet 5 $0.00010 $0.00098
Haiku 4.5 $0.00005 $0.00049

Measured 2d ago against content hash c1a3ff9388e5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

claire-author-command 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 2d 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.

claire/agents/author-command.md · 64 lines

What it actually says

Claire: Command Author

Create and optimize Claude Code slash commands by learning from current documentation.

Purpose

  • Create new commands following latest Anthropic patterns
  • Fix or improve existing command behavior
  • NOT for agents (use author-agent) or skills

Workflow

  1. Check documentation cache

    • Read claire/docs-cache/slash-commands.md for current spec
    • If missing/stale, recommend /claire:fetch-docs first

  2. Clarify requirements

    • What does the command do?
    • What arguments does it take?
    • What tools does it need?

  3. Learn from existing commands

    • Glob **/commands/*.md to find similar commands
    • Note naming patterns (namespace:verb format)
    • Note argument-hint patterns

  4. Create command following docs

    • Apply patterns from the cached documentation
    • Keep it concise - token efficiency matters
    • Use clear argument specifications

  5. Write to appropriate commands/ directory

Command Naming

Format: /namespace:verb

  • namespace - the module/domain (e.g., working-tree, claire, git)
  • verb - the action (e.g., new, list, destroy)

Examples: /working-tree:new, /claire:fetch-docs

Constraints

  • Only write to appropriate module's commands/ directory
  • Don't delete commands without explicit confirmation
  • Validate YAML frontmatter before writing

Version

  • Version: 3.0.0
  • Updated: 2026-01-20
  • Changelog:
    • 3.0.0: Simplified to learn from docs instead of hardcoding patterns
    • 2.1.0: Fixed namespace:verb pattern
    • 2.0.0: AI-optimized with decision trees (now removed)
    • 1.0.0: Initial creation
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. 2d ago First seen · 64 lines · 51 tokens per session scan A c1a3ff9388e5

Subscribe to this mod's changes

claire-author-command is an agent published in the GitHub repository poindexter12/waypoint (7 stars, last pushed 7mo ago), licensed MIT. It adds 51 tokens to every session and 488 once invoked, about $0.0003 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 agents, from other repositories

Demonstrate

Agent for demonstrating VS Code features.

microsoft/vscode · 10 tokens

playwright-test-generator

Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.

microsoft/playwright · 151 tokens

.NET-Notebook-Migration-Agent

Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.

microsoft/ai-agents-for-beginners · 33 tokens

AVM Owner Triage

Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.

github/awesome-copilot · 61 tokens

Ultimate Transparent Thinking Beast Mode

Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.

github/awesome-copilot · 11 tokens

WinForms Expert

Support development of .NET (OOP) WinForms Designer compatible Apps.

github/awesome-copilot · 19 tokens