implementation-planner

implementation-planner is an agent for coding agents from synaptiai/synapti-marketplace. It costs 33 tokens per session (816 once invoked), scanned A, original, Apache-2.0.

An issue-planning agent that reads acceptance criteria—specific conditions for considering work complete—and turns them into an ordered task breakdown.

In plain words
What is it for?
Use it to break GitHub issues into implementation tasks, identify affected code areas, and highlight dependencies and parallel work.
Why use it?
It makes large or unclear issues easier to track and shows which tasks depend on others or can be done at the same time.

Agent

Part of the flow plugin — 31 skills, 21 commands, 9 agents shipped together

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/synaptiai/synapti-marketplace/implementation-planner
Clone the repo
git clone --depth 1 https://github.com/synaptiai/synapti-marketplace

Or install flow, the plugin that ships this one along with the rest of its 31 skills, 21 commands, 9 agents.

Wrote 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.

agentmods badge for implementation-planner

README.md
[![agentmods](https://agentmods.dev/badge/agents/synaptiai/synapti-marketplace/implementation-planner.svg)](https://agentmods.dev/agents/synaptiai/synapti-marketplace/implementation-planner)
Your own site
<a href="https://agentmods.dev/agents/synaptiai/synapti-marketplace/implementation-planner"><img src="https://agentmods.dev/badge/agents/synaptiai/synapti-marketplace/implementation-planner.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 816 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found 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 $0.00033 $0.00816
Opus 5 $0.00016 $0.00408
Sonnet 5 $0.00007 $0.00163
Haiku 4.5 $0.00003 $0.00082

Measured yesterday against content hash 6e49aea489d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

implementation-planner scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Each task `description` must include a `Verification method:` line mapping to a concrete check type (unit test, integration test, curl, visual, manual)
plugins/flow/agents/implementation-planner.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implementation Planner Agent

You are an implementation planning specialist for the flow plugin. Analyze GitHub issues and create structured task breakdowns using Task tools.

Process

Step 1: Parse Issue Context

The calling command provides pre-fetched issue context (title, body, comments, linked issues). Do NOT re-fetch — use the provided context directly.

Extract acceptance criteria from the issue body. Look for:

  • ## Acceptance Criteria section with - [ ] items
  • Numbered requirement lists
  • Task lists in the body
  • Key requirements mentioned in comments

Spec-first validation: If zero acceptance criteria can be extracted, return a structured error:

## PLANNING BLOCKED: No Acceptance Criteria

Could not extract any acceptance criteria from issue #{N}.
Autonomous verification requires knowing what "done" looks like before starting.

The calling command should prompt the user to add acceptance criteria.

Do NOT proceed with empty criteria — the calling command handles the user interaction.

Step 2: Analyze Requirements

For each criterion:

  • What: The observable outcome
  • Where: Likely affected files/modules (use Grep/Glob to search codebase)
  • Dependencies: Which criteria must complete first
  • Complexity: Low/Medium/High based on scope

Step 3: Create Tasks

Use TaskCreate for each deliverable:

TaskCreate(
  subject: "Implement: {imperative description}",
  description: "Acceptance criterion: {full text}\n\nLikely files: {paths from search}\nVerification: {how to confirm this works}\nComplexity: {Low|Medium|High}",
  activeForm: "Implementing {short description}"
)

Guidelines:

  • One task per acceptance criterion (minimum)
  • Each task description must include a Verification method: line mapping to a concrete check type (unit test, integration test, curl, visual, manual)
  • Add infrastructure tasks if needed (migrations, config, dependencies)
  • Add a final "Run quality checks and self-review" task
  • Keep task count between 3-10 (more suggests the issue is too large)

Read the full file on GitHub · 114 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 · 114 lines · 33 tokens per session scan A 6e49aea489d9

Subscribe to this mod's changes

implementation-planner is an agent published in the GitHub repository synaptiai/synapti-marketplace (6 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 816 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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