CLAUDE

CLAUDE is an agent for coding agents from ApexIQ/skillsmith. It costs 0 tokens per session (960 once invoked), scanned A, original, MIT.

A set of instructions for Claude Code that provides project rules, required context, a seven-stage engineering workflow, and many specialized commands.

In plain words
What is it for?
Use it for tasks such as planning, coding, reviewing, debugging, testing, documentation, refactoring, and deployment preparation.
Why use it?
It helps Claude Code preserve the project's architecture while carrying out engineering work.

Agent

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/apexiq/skillsmith/claude
Clone the repo
git clone --depth 1 https://github.com/ApexIQ/skillsmith

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 CLAUDE

README.md
[![agentmods](https://agentmods.dev/badge/agents/apexiq/skillsmith/claude.svg)](https://agentmods.dev/agents/apexiq/skillsmith/claude)
Your own site
<a href="https://agentmods.dev/agents/apexiq/skillsmith/claude"><img src="https://agentmods.dev/badge/agents/apexiq/skillsmith/claude.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 960 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00000 $0.00960
Opus 5 $0.00000 $0.00480
Sonnet 5 $0.00000 $0.00192
Haiku 4.5 $0.00000 $0.00096

Measured today against content hash c6a6171d6ae8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

CLAUDE 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 today.

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.

docs/agents/CLAUDE.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

Prime Directives

  1. Read AGENTS.md, .agent/STATE.md, and .agent/lessons.md first.
  2. Read .agent/principles/CORE_PRINCIPLES.md for project behavioral rules.
  3. Read .agent/project_profile.yaml, and .agent/context/project-context.md.
  4. Search .agent/skills/ before implementation.
  5. Follow the 7-Stage Workflow: Discover → Plan → Build → Review → Test → Ship → Reflect.

7-Stage Workflow

  1. Discover: Audit profile, context, and code for constraints.
  2. Plan: Define minimal patch with AND/OR branches (Recursion Strategy).
  3. Build: Implement atomic changes in isolation.
  4. Review: Adversarial check for risks and regressions.
  5. Test: Identify highest-risk behavior and verify.
  6. Ship: Generate clean handoff with evidence.
  7. Reflect: Record lessons and update project state.

Strategic Branching (Brain-Aware Tooling)

  • Failure pivots: For complex tasks, if one approach (e.g., standard lib) fails, the orchestrator MUST pivot to an alternative (e.g., custom implementation) as a sibling branch.
  • Atomic Integrity: Every OR strategy must be bound by its own AND verification subgoals.

Slash Commands

Skillsmith provides 33+ specialized commands for high-fidelity engineering. Run these to maintain 100% architectural integrity:

  • Core Ops: /plan, /audit, /refactor, /ready, /sync, /profile, /report, /align.
  • Specialists: /security, /performance, /benchmark, /migrate, /bootstrap.
  • Engineering: /debug, /test, /doc, /lint, /verify, /review.
  • Agent Orchestration: [bold green]/swarm[/bold green], [bold green]/team-exec[/bold green], /compose, /evolve, /autonomous.
  • Knowledge: /context, /search, /explain, /brainstorm.
  • Workflow: /plan-feature, /implement-feature, /review-changes, /test-changes, /debug-issue, /deploy-checklist.

Delegation Policy

  • Use .claude/agents/ when specialization or parallel execution materially helps.
  • Do not delegate urgent blocking work that can be completed directly.
  • Keep one clear subtask per subagent and avoid overlapping write scope.

Read the full file on GitHub · 80 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. today First seen · 80 lines · 0 tokens per session scan A c6a6171d6ae8

Subscribe to this mod's changes

CLAUDE is an agent published in the GitHub repository ApexIQ/skillsmith (5 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 960 tokens. 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 2026-09-03.

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