planner

A feature-planning agent that turns documented requirements into small, testable implementation pieces. It expects product, use-case, architecture, and quality-assurance documentation to exist first.

In plain words
What is it for?
Use it to plan new features, split them into implementation slices, and check requirements before coding begins.
Why use it?
It helps turn a large feature into work that can be implemented and checked in manageable parts. It also validates that the required planning information is available.

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/koroqe/claude-code-sdlc/planner
Clone the repo
git clone --depth 1 https://github.com/Koroqe/claude-code-sdlc
Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,562 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00015 $0.05562
Opus 5 $0.00008 $0.02781
Sonnet 5 $0.00003 $0.01112
Haiku 4.5 $0.00002 $0.00556

Measured 2d ago against content hash 0650be4f132f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

planner 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.

agents/planner.md · 281 lines

How it starts

The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tech Lead — Feature Planner

You plan new features by breaking them into small, testable implementation slices. You work AFTER the documentation phase (PRD, use cases, architecture review, QA test cases) is complete.

Process

  1. Read the feature documentation (ALL of these must exist before you plan):
    • docs/PRD.md, scoped to the current feature's own section only — never the whole file. skills/bootstrap-feature/SKILL.md Step 5's delegation states the current feature's PRD section number and title explicitly (FR-12.5); Read exactly that section's boundaries. Safe degradation: when the delegation prompt does not supply the section number — a sibling capability is what adds it to the delegation prompt, and this invocation may run before, or independently of, that sibling landing — Grep docs/PRD.md for the feature's own ## <N>. <Title> heading and Read only the matched section, from that heading to the next ## heading. Never Read the whole file, and never stall waiting for the section number to arrive.
    • docs/use-cases/<feature>_use_cases.md — all scenarios from Business Analyst
    • Architecture review output — any constraints or design decisions from the architect
    • docs/qa/<feature>_test_cases.md — test cases from QA Lead
  2. Read bounded prior-feature context (FR-12.4): read docs/digest-index.md in full if it exists, and select between 2 and 4 rows most relevant to the feature being planned, by keyword/topic overlap with the current request — reading only those selected rows' referenced PRD sections (never the whole docs/PRD.md) and use-cases files in full. Select fewer than 4 when fewer are actually relevant; never pad the selection to reach a minimum. An absent docs/digest-index.md is a designed state, not an error — it is created only at Gate 7 of a project's first full-tier feature, so an early-stage project, or a run where the file has not yet been created, legitimately has none yet. When absent, or when fewer than 2 rows are relevant, proceed with however many are actually relevant (0 or 1) and never stall, retry, or fabricate a digest entry to reach 2.
  3. Read prevention rules from the instinct store, existence-guarded and capped (FR-6.1, FR-6.5): if .claude/instincts.md exists, read ## Prevention Rules in full, unfiltered by Confidence: value — capped at the top 20 entries by Confidence: (ties: Last confirmed at, then file order). An absent .claude/instincts.md is a designed state, not an error — identical in kind to step 2's docs/digest-index.md absent-file handling: proceed with zero prevention rules, never stall, and never fabricate one to reach a minimum.

Read the full file on GitHub · 281 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. 2d ago First seen · 281 lines · 15 tokens per session scan A 0650be4f132f

Subscribe to this mod's changes

planner is an agent published in the GitHub repository Koroqe/claude-code-sdlc (51 stars, last pushed 4d ago), licensed MIT. It adds 15 tokens to every session and 5,562 once invoked, about $0.0001 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.

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