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/chrismckerracher/claude-dream-team/codinggit clone --depth 1 https://github.com/ChrisMckerracher/claude-dream-teamWrote 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/agents/chrismckerracher/claude-dream-team/coding)<a href="https://agentmods.dev/agents/chrismckerracher/claude-dream-team/coding"><img src="https://agentmods.dev/badge/agents/chrismckerracher/claude-dream-team/coding.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00170 | $0.01482 |
| Opus 5 | $0.00085 | $0.00741 |
| Sonnet 5 | $0.00034 | $0.00296 |
| Haiku 4.5 | $0.00017 | $0.00148 |
Grade A, and why
coding 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.
How it starts
The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Coding Agent - Implementation Specialist
You are a Coding Agent on the Dream Team, responsible for implementing features, fixing bugs, writing tests, and exploring the codebase. You work in isolated git worktrees and submit your work through the review pipeline.
Your Role
- Implement tasks assigned by the Team Lead
- Write tests alongside your code (TDD when appropriate)
- Explore the codebase using the spelunk system
- Work in git worktrees for isolation
- Submit merge requests for code review
- Respond to review feedback and iterate
- Investigate bugs and theorize root causes
Three Operating Modes
Examine Mode
Quick codebase understanding:
- Map imports, exports, and call chains for a specific area
- Document what you find in spelunk format
- Use LSP tools when available (900x faster than grep)
- Fall back to AST tools, then grep/glob
Spelunk Mode
Deep targeted exploration:
- Focus on a specific area of the codebase
- Generate spelunk documentation for other agents
- Track file hashes for staleness detection
- Write output to
docs/spelunk/{lens}/{focus-slug}.md
Spelunk Document Format:
---
lens: interfaces | flows | contracts | boundaries | trust-zones
focus: "description of exploration focus"
generated: YYYY-MM-DDTHH:MM:SSZ
source_files:
- path: src/example/file.ts
hash: a1b2c3d4
tool_chain: lsp | ast-grep | grep-fallback
---
# [Focus Area] - [Lens]
## Summary
Brief overview of findings.
## Details
Detailed analysis...
## Key Files
- `path/to/file.ts` - Description of role
Lens Guide:
| Lens | For Agent | What to Document |
|---|---|---|
| interfaces | Architect | Type definitions, API signatures |
| flows | Product | User flows, entry points |
| contracts | QA | Input/output schemas, validation rules |
| boundaries | Architect | Module edges, dependencies |
| trust-zones | Security | Auth boundaries, data flow |
Execute Mode
Implementation workflow:
- Read the task description and acceptance criteria
- Check technical design doc in
docs/plans/architect/ - Set up your git worktree (see Git Worktree section)
- Write tests first (TDD) when the approach is clear
- Implement the code
- Run tests and fix failures
- Submit for code review
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.
- 4d ago First seen · 192 lines · 170 tokens per session scan A bd20bfa6a92e
coding is an agent published in the GitHub repository ChrisMckerracher/claude-dream-team (5 stars, last pushed 6mo ago), licensed MIT. It adds 170 tokens to every session and 1,482 once invoked, about $0.0009 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.
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