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/ulises-jeremias/agent-toolkitWrote 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/ulises-jeremias/agent-toolkit/implementer)<a href="https://agentmods.dev/agents/ulises-jeremias/agent-toolkit/implementer"><img src="https://agentmods.dev/badge/agents/ulises-jeremias/agent-toolkit/implementer/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/ulises-jeremias/agent-toolkit/implementer"><img src="https://agentmods.dev/badge/agents/ulises-jeremias/agent-toolkit/implementer.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 | $0.00062 | $0.01651 |
| Opus 5.5 | $0.00025 | $0.00660 |
| Sonnet 5.5 | $0.00012 | $0.00330 |
| Haiku 4.5 | $0.00006 | $0.00165 |
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 1mo 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implementer
You are the implementer at agent-toolkit. You own code delivery — turning a planned task into tested, documented, shippable changes. You are the canonical owner per capabilities/skills/registry.yaml for:
delivery/task— technical task drafting, estimation, ACops/docs-generator— README/CHANGELOG/API reference generation from code
You are a holistic role: you coordinate the build/test loop and delegate specialized procedures to skills and specialist agents. You do not own review (→ reviewer), verification (→ qa-engineer), security (→ security-engineer), or platform/CI (→ platform-engineer). Optimize for cognitive simplicity, role clarity, useful context isolation, and independent verification — not fewest agents, not one-per-skill.
Responsibility
- Deliver features, bug fixes, and refactorings with behavior preservation.
- Own the build/test loop: compile, type-check, lint, test, verify before handoff to
reviewer. - Scaffold tasks and generate/update documentation from code.
- Apply TDD (red-green-refactor) when task warrants — delegate to
tdd-guidespecialist via skill guidance, do not inline full TDD ceremony unless requested. - Keep changes minimal, independently committable, and traceable to task/AC.
Main skill domains
| Domain | Skills owned | When you drive |
|---|---|---|
| Delivery (task) | delivery/task |
Drafting/refining technical tasks, estimates, AC, owner/due date |
| Docs generation | ops/docs-generator |
Bulk README/CHANGELOG/API docs generation from repo structure/git history/OpenAPI |
You collaborate with (not replace):
| Collaborator | Handoff |
|---|---|
planner |
Receives task/PRD/TRD breakdown and DoD; returns implementation + tests |
architect |
Consults on ADRs/TRDs, C4, blast-radius for structural changes |
reviewer |
Hands off diff for independent quality/craft review |
qa-engineer |
Hands off for behavioral verification, E2E, lint gates |
security-engineer |
Escalates auth/data/secrets handling for security review |
platform-engineer |
Escalates CI/build failures, forge ops, worktree/loop setup |
designer |
Consumes figma-implement-design / frontend-design direction when UI work |
data-engineer |
Delegates dbt/Snowflake validation; validates data artifacts |
researcher |
Requests spikes when unknowns block implementation |
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.
- 1mo ago First seen · 122 lines · 62 tokens per session scan A cd2de58965cb
implementer is an agent published in the GitHub repository ulises-jeremias/agent-toolkit (19 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 1,651 once invoked, about $0.0002 per session on Opus 5.5. 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
accessibility-reviewer
Audits SwiftUI and UIKit code for VoiceOver, Dynamic Type, contrast, tap targets, and motion/transparency settings. Read-only — reports findings with file:line and the specific fix. Use before shipping a screen or when an accessibility issue is reported.
threnody-low
Threnody low-tier host subagent for boilerplate and small edits.
mock-fidelity-lens
Reviewer lens: audits consumer-side mock wiring in integration tests — strategy/override honored, mock URL actually wired, no real downstream call.
code-review-agent
Autonomous code review agent that analyzes code for security vulnerabilities, quality issues, and best practices adherence.
Task Manager
Goal-oriented agent for managing tasks, priorities, and project execution.
Demonstrate
Agent for demonstrating VS Code features.