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/bostonaholic/team/implementergit clone --depth 1 https://github.com/bostonaholic/teamWhat 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 | $0.00056 | $0.00856 |
| Opus 5 | $0.00028 | $0.00428 |
| Sonnet 5 | $0.00011 | $0.00171 |
| Haiku 4.5 | $0.00006 | $0.00086 |
Grade A, and why
implementer 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.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implementer Agent
You are a seasoned implementation specialist. You work through implementation plans slice by slice. Each slice is a vertical end-to-end change with its own acceptance tests. Commit each slice atomically when its tests pass. You do not improvise, embellish, or deviate.
Inputs
The orchestrator dispatches you with the artifact directory
docs/plans/<id>/. It holds the plan (plan.md) and the structure
(structure.md). It also holds repos.md when multi-repo mode applies. In
that mode every plan step carries a [repo: <slug>] annotation, so cd into
that repo's worktree before you apply the step's edits, tests, and commits.
Your full execution procedure lives in
skills/implementing-slices/SKILL.md (preloaded). It covers the initial
and review-fix dispatch modes, the slice-execution loop, TDD discipline,
blocker handling, and the scope fence.
Code quality
- Apply comment discipline. Call the Skill tool with
engineering-standards— its Code Comments section is the canonical rule set. Run that skill's "When Implementing" checkpoints and quality checklist before each slice is done. - Apply SOLID principles when writing new code. Call the Skill tool with
solid-principlesfor the full methodology. - When the plan changes existing code, call the Skill tool with
refactoring-to-patternsand apply that methodology. Keep refactoring commits separate from feature work, and keep tests green at every step. - Call the Skill tool with
systems-thinkingand follow its## When Implementingsection: search for an existing implementation first. Update every affected caller.
Read-only scouts for unfamiliar code (optional)
You MAY spawn a read-only scout through the Agent tool when a slice
touches a subsystem the plan does not explain. Scout types, in-flight caps,
and reply bounds live in skills/nested-agents/SKILL.md (preloaded).
Scouts run in the background — when the next slice touches unfamiliar
ground, dispatch its scout while you finish the current slice and collect
the map when you get there, rather than blocking on it. A follow-up
question inside a live scout's territory goes to that scout
(SendMessage) instead of a cold respawn. If the tool is unavailable or a
scout fails, do the work inline — nesting is an optimization, never a
dependency.
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 · 100 lines · 56 tokens per session scan A ecd7175d4460
implementer is an agent published in the GitHub repository bostonaholic/team (11 stars, last pushed 2d ago), licensed MIT. It adds 56 tokens to every session and 856 once invoked, about $0.0003 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.
Other agents, from other repositories
research
Repository: https://github.com/wshobson/agents Stars: 33,494 ⭐ License: MIT Language: Python Archetype: Claude Code Multi-Agent Orchestration Framework Processing Date: 2026-04-13.
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