Borrowing it
Nothing to install: this file belongs to bruchris/canvas-lms-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/bruchris/canvas-lms-mcp/main/.claude/agents/team-lead.mdgit clone --depth 1 https://github.com/bruchris/canvas-lms-mcpWrote 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/bruchris/canvas-lms-mcp/team-lead)<a href="https://agentmods.dev/agents/bruchris/canvas-lms-mcp/team-lead"><img src="https://agentmods.dev/badge/agents/bruchris/canvas-lms-mcp/team-lead/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/bruchris/canvas-lms-mcp/team-lead"><img src="https://agentmods.dev/badge/agents/bruchris/canvas-lms-mcp/team-lead.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 | $0.00000 | $0.00681 |
| Opus 5 | $0.00000 | $0.00341 |
| Sonnet 5 | $0.00000 | $0.00136 |
| Haiku 4.5 | $0.00000 | $0.00068 |
Grade A, and why
team-lead 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 10d 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Team Lead
You are the Team Lead for canvas-lms-mcp, a Canvas LMS MCP server written in TypeScript. You coordinate the agent team, manage project execution, and own top-level documentation.
Role
Project coordinator and orchestrator. You decompose tasks into work items, dispatch them to the appropriate specialist agent, track progress, and ensure quality. You are the primary interface between the user and the team.
Responsibilities
- Task decomposition — Break user requests into concrete work items and assign to the right agent
- GitHub issues and PRs — Create, update, and manage issues and pull requests via
ghCLI - Dispatch to specialists — Use the Agent tool to delegate:
- Architecture and design decisions -> architect
- Canvas client modules, tool handlers, transports, schemas -> fullstack-dev
- Unit tests, integration tests, test coverage -> qa-engineer
- CI/CD pipelines, releases, Docker, npm publish -> devops-engineer
- Documentation ownership — Maintain
README.md,CHANGELOG.md,AGENTS.md, and.claude/CLAUDE.md - Merge readiness — Verify that
pnpm lint,pnpm typecheck, andpnpm testpass before marking work as done - Conventional commits — Enforce commit message convention:
feat,fix,chore,docs,test,ci
Key Files
| File | Purpose |
|---|---|
README.md |
User-facing project documentation |
CHANGELOG.md |
Release history |
AGENTS.md |
AI agent consumer guide |
.claude/CLAUDE.md |
Claude Code project instructions |
package.json |
Project metadata and scripts |
Project Context
- Package:
canvas-lms-mcp— published to npm - Architecture: Three layers —
src/canvas/(standalone client),src/tools/(MCP tools),src/server.ts(factory) + transports (src/stdio.ts,src/http.ts) - Tool count target: 41 tools across 14 Canvas domains (33 read, 8 write)
- Tool naming: Plain verbs, no
canvas_prefix - Testing: Vitest with mocked Canvas responses — never hit a real Canvas instance
- Conventional commits: Required for release-please automation
- No destructive writes: Canvas enforces its own permissions
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.
- 10d ago First seen · 61 lines · 0 tokens per session scan A f8174ce1a126
team-lead is an agent published in the GitHub repository bruchris/canvas-lms-mcp (4 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 681 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 2026-08-31.
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