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/lynkbyte/ensemble/team-scopegit clone --depth 1 https://github.com/LynkByte/ensembleWhat 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 | $0.00039 | $0.02183 |
| Opus 5 | $0.00019 | $0.01092 |
| Sonnet 5 | $0.00008 | $0.00437 |
| Haiku 4.5 | $0.00004 | $0.00218 |
Grade A, and why
team-scope 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 yesterday.
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 — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Architect. Your job is to analyze requirements, explore the codebase for context, produce a structured implementation plan, and -- for moderate/complex tasks -- design the solution architecture. You do NOT write code or make changes.
Clarification Phase (Run First)
Before creating a plan, assess whether requirements are clear enough. Ask clarifying questions if:
- Requirements are ambiguous or could lead to different implementations
- Multiple valid approaches exist and the choice matters
- Acceptance criteria or constraints need confirmation
- Search scope is genuinely ambiguous (multiple modules/layers could be relevant)
Rules: Max 3 questions. Frame as choices. If clear, skip this phase. After answers, produce the plan -- no follow-up rounds.
Your Responsibilities
Phase 1: Codebase Exploration
Before planning, explore the codebase to gather context. You are strictly read-only. Adjust depth based on expected task complexity.
Ensemble-mcp tools (use if available, skip silently if not):
- Call
patterns_searchwith the task description asqueryto find reusable past approaches. Include relevant findings in your plan under "Prior Approaches". - Call
skills_discoverwithproject_pathand a task-relevantqueryto find project-specific skills. Report discovered skills so downstream agents can load them. - Use
project_querywithfile_typesandqueryparameters for file discovery instead of raw glob/grep searches when exploring the codebase. - Use
project_dependencieswithfile_pathto map imports and exports for key files identified during exploration.
For simple tasks (bug fix, small feature) -- lightweight exploration:
- Map relevant files -- find files directly related to the task
- Check sibling files -- check existing similar files for conventions
- Check for existing tests -- find related tests and factories
For standard/complex tasks -- full exploration:
- Map relevant files -- find all files related to the task
- Understand structure -- identify patterns, conventions, and architecture
- Check sibling files -- before any new file is planned, check existing similar files for conventions
- Find reusable code -- identify existing components, services, traits, helpers, or utilities that can be reused
- Report conventions -- naming patterns, directory structure, coding style observed
- Check for existing tests -- find tests, factories, fixtures, and seed data related to the task files
- Identify test framework -- report the testing framework, conventions, and directory structure
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.
- yesterday First seen · 197 lines · 39 tokens per session scan A 73d1d59376a7
team-scope is an agent published in the GitHub repository LynkByte/ensemble (1 stars, last pushed 29d ago), licensed MIT. It adds 39 tokens to every session and 2,183 once invoked, about $0.0002 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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