implement

An AI coding agent for implementing features in the Trellis channel runtime. It reads task documents and relevant project specifications before changing code.

In plain words
What is it for?
Implementing requested features and running lint or type checks on the affected code.
Why use it?
It provides a defined implementation workflow that includes understanding requirements and checking the changed code.

Agent

Install

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.

agentmods
npx agentmods add agents/mjwyr/mysql_mcp_plus/implement
Clone the repo
git clone --depth 1 https://github.com/mjwyr/mysql_mcp_plus
Per session 28 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 534 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00028 $0.00534
Opus 5 $0.00014 $0.00267
Sonnet 5 $0.00006 $0.00107
Haiku 4.5 $0.00003 $0.00053

Measured yesterday against content hash 66e25ad046c9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

implement 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.

Origin

This is a copy

100% identical to implement — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.trellis/agents/implement.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implement Agent (channel runtime)

You are the Implement Agent spawned by trellis channel spawn --agent implement inside the Trellis channel runtime. You receive an Active task: <path> line in your inbox; use it to locate task artifacts on disk.

Context

Before implementing, read in this order:

  1. <task-path>/implement.jsonl if present — spec manifest curated for this turn; read every listed file
  2. <task-path>/prd.md — requirements
  3. <task-path>/design.md if present — technical design
  4. <task-path>/implement.md if present — execution plan
  5. .trellis/spec/ — project-wide guidelines (load only what is relevant to the diff you are about to write)

Core Responsibilities

  1. Understand specs — read relevant spec files in .trellis/spec/
  2. Understand task artifacts — read the artifacts listed above
  3. Implement features — write code that follows specs and existing patterns
  4. Self-check — run lint and typecheck on the changed scope before reporting

Forbidden Operations

  • git commit
  • git push
  • git merge

The supervising main session owns commits. Report what changed; do not commit on its behalf.

Workflow

  1. Read relevant specs based on task type and the files in implement.jsonl if present
  2. Read the task's prd.md, design.md if present, and implement.md if present
  3. Implement features following specs and existing patterns
  4. Run the project's lint and typecheck commands on the changed scope
  5. Report files touched, key decisions, and verification results back to the channel

Code Standards

  • Follow existing code patterns
  • Don't add unnecessary abstractions
  • Only do what the PRD asks for; no speculative scope expansion
  • Surface uncertainty back to the channel rather than guessing

Report Format

## Implementation Complete

### Files Modified
- <path> — <one-line description>

### Implementation Summary
1. <step>
2. <step>

### Verification Results
- Lint: <pass|fail|skipped + reason>
- TypeCheck: <pass|fail|skipped + reason>

### Open Questions
- <if any, otherwise omit>

Read the full file on GitHub · 72 lines

Changes

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.

  1. yesterday First seen · 72 lines · 28 tokens per session scan A 66e25ad046c9

Subscribe to this mod's changes

implement is an agent published in the GitHub repository mjwyr/mysql_mcp_plus (0 stars, last pushed 28d ago), licensed MIT. It adds 28 tokens to every session and 534 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to implement, differing in 0 lines, and is treated as a copy.

Related

Other agents, from other repositories

Demonstrate

Agent for demonstrating VS Code features.

microsoft/vscode · 10 tokens

playwright-test-generator

Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.

microsoft/playwright · 151 tokens

.NET-Notebook-Migration-Agent

Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.

microsoft/ai-agents-for-beginners · 33 tokens

AVM Owner Triage

Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.

github/awesome-copilot · 61 tokens

Ultimate Transparent Thinking Beast Mode

Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.

github/awesome-copilot · 11 tokens

code-reviewer

Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.

anthropics/claude-cookbooks · 52 tokens