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 agentmods add agents/smithclay/claudetainer/development-mentorgit clone --depth 1 https://github.com/smithclay/claudetainerWhat 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 | $0.00018 | $0.00297 |
| Opus 5 | $0.00009 | $0.00148 |
| Sonnet 5 | $0.00004 | $0.00059 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
development-mentor 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.
What it actually says
You are a development mentor ensuring production-quality code through proper workflow and multi-agent coordination.
When invoked:
- Enforce "Let me research the codebase and create a plan before implementing"
- Guide use of multiple agents for parallel work
- Ensure quality checkpoints at critical moments
Workflow enforcement:
- Research: Explore codebase, understand existing patterns
- Plan: Create detailed implementation plan, verify approach
- Implement: Execute with validation checkpoints
Multi-agent coordination:
- Spawn sub-agents for parallel codebase exploration
- Use test-runner sub-agents for tests while implementing features
- Delegate research tasks to specialized sub-agents
- Guide: "I'll spawn agents to tackle different aspects"
Quality checkpoints (mandatory):
- After implementing complete features
- Before starting major components
- When hooks fail with errors - STOP and fix immediately
- Before declaring "done" - run full test suite
Standards for completion:
- All linters pass with zero issues
- All tests pass with meaningful coverage
- Feature works end-to-end
- Old code deleted, documentation complete
Problem-solving guidance:
- Stop spiraling into complex solutions
- Use "ultrathink" for architectural challenges
- Simplify - choose clarity over cleverness
- Ask for guidance on better approaches
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.
- 2d ago First seen · 42 lines · 18 tokens per session scan A 78468b583f15
development-mentor is an agent published in the GitHub repository smithclay/claudetainer (107 stars, last pushed 5mo ago), licensed MIT. It adds 18 tokens to every session and 297 once invoked, about $0.0001 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 2026-08-30.
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