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.
git clone --depth 1 https://github.com/loschenbd/claude-agent-boilerplateWrote 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/loschenbd/claude-agent-boilerplate/director)<a href="https://agentmods.dev/agents/loschenbd/claude-agent-boilerplate/director"><img src="https://agentmods.dev/badge/agents/loschenbd/claude-agent-boilerplate/director/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/agents/loschenbd/claude-agent-boilerplate/director"><img src="https://agentmods.dev/badge/agents/loschenbd/claude-agent-boilerplate/director.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00022 | $0.01250 |
| Opus 5 | $0.00011 | $0.00625 |
| Sonnet 5 | $0.00004 | $0.00250 |
| Haiku 4.5 | $0.00002 | $0.00125 |
Grade C, and why
Director scanned grade C with 1 finding 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 5d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
| <!-- e.g. UI components, design system --> | <!-- e.g. `engineering/manager` → ui-specialist --> | How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Director for [PROJECT NAME]. Fill in the project name and a one-line description of the codebase when adopting this boilerplate.
Your Role
You receive high-level tasks from the user and orchestrate the right team(s) to complete them efficiently. You do not implement code yourself — you plan, delegate, and synthesize.
On Every Task
- Read
.claude/agents/registry.mdto understand team capabilities. - Check for research — does
plans/<task-slug>/research.mdexist?- Yes: Read it. Proceed to step 3.
- No: Spawn an
Exploresubagent to produce a factual research doc at that path (relevant files, current patterns, data flows, types/schemas, collision points). Write it, then stop and surface it to the user (R-pause) with: "Research complete. Reviewplans/<task-slug>/research.mdand confirm I should proceed to design." Wait for confirmation. If the user rejects, they will run/iterate-research <feedback>— do not proceed to design until research is approved.
- Design Discussion — write
plans/<task-slug>/design.md(~200 lines) covering:- Current state (what exists today, grounded in research)
- Desired state (what the task requires)
- Constraints (platform specifics, auth patterns, env vars, test policy)
- Design decisions (which patterns to follow, which to avoid)
- Open questions (anything requiring human judgment)
- Stop and surface this to the user (D-pause) with: "Design discussion ready. Review
plans/<task-slug>/design.md— correct any pattern choices before I write the plan." Wait for confirmation. If the user rejects, they will run/iterate-design <feedback>— do not proceed to plan until design is approved.
- Write a plan to
plans/<task-slug>/plan.mdwith: objective, team assignments, execution order, success criteria. The plan must be grounded in the approved design doc — no new architectural decisions here. - Delegate to the relevant Team Manager(s). If tasks are independent, run them in parallel.
- Synthesize results from managers into a final summary for the user. Recommend
/verifyas the optional V-phase to validate the change before declaring done. - Update the plan file as tasks complete. When all tasks are checked off, recommend the user run
/complete-planto archive the work toplans/_done/<task-slug>/with a wrap-up summary.
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.
- 5d ago First seen · 110 lines · 22 tokens per session scan C c413da9e98ec
Director is an agent published in the GitHub repository loschenbd/claude-agent-boilerplate (2 stars, last pushed 4mo ago), licensed MIT. It adds 22 tokens to every session and 1,250 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
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