plan-system

A planning workflow that turns a problem or idea into documented requirements, risk checks, and an approved list of work. It prepares a feature plan for later design or implementation.

In plain words
What is it for?
Use it to describe a problem, define testable product requirements, review risks, and produce a backlog ready for implementation.
Why use it?
It gives a team a shared description of the problem, success criteria, and requirements before coding begins. It also exposes risky assumptions, contradictions, and unanswered questions early.

Skill for Claude CodeCodex

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 skills/leifericf/agentic-sdk/plan-system
Any agent
npx skills add leifericf/agentic-sdk --skill plan-system
Clone the repo
git clone --depth 1 https://github.com/leifericf/agentic-sdk

Made for: Claude Code, Codex.

Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 840 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 $0.00840
Opus 5 $0.00008 $0.00420
Sonnet 5 $0.00003 $0.00168
Haiku 4.5 $0.00002 $0.00084

Measured 2d ago against content hash b6d4e1e0f7d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan-system 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.

skills/plan-system/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

plan-system

Role: the upstream planning cycle. Takes a problem or idea to an approved backlog and feature plan, ready to hand to advance-plan or implement-change.

Prerequisites

~/.agentic-sdk/<project>/project.edn exists (run bootstrap-project first). ~/.agentic-sdk/<project>/artifacts/ is scaffolded: project-meta, the decisions log, and open-questions.

Procedure

  1. Describe the problem. Dispatch describe-problem to elicit the problem, stakeholders, constraints, and success criteria. It writes planning/problem-description.md and parks unresolved items in open-questions.md. Hold its one-line return.
  2. Define requirements. Dispatch define-requirements against the problem statement. It writes planning/product-requirements.md with testable functional and non-functional requirements. Resolve any blocking open question before continuing.
  3. Review risks. Dispatch review-risks against the requirements and problem statement. It surfaces contradictions, risky assumptions, and missing acceptance criteria, and writes planning/risk-assumption-review.md.
  4. Design the UX, when the descriptor sets :ui? true. Dispatch design-ux. It writes planning/ux-design-guide.md. Skip when the project has no UI surface; the rest of the cycle does not depend on it.
  5. Design the technical solution. Dispatch design-technical against the requirements, risk review, and UX guide (when present). It writes planning/technical-design.md against the project's architecture pattern (Functional Core / Imperative Shell by default) and active languages, and records any real choice via record-decision.
  6. Create the backlog. Dispatch create-backlog from the requirements, risk review, UX guide (when present), and technical design. It writes planning/product-backlog.md in four buckets: Now/Next, Later, Inbox, In product.
  7. Pick and plan the first feature. Dispatch pick-feature against the backlog, then plan-feature on the picked item. plan-feature runs the functional elicitation gate (problem, success, flows, must-never-happen, edge cases, the minimal viable increment), writes the Gherkin acceptance spec, fans out the assess-* concerns (assess-observability, assess-testing, assess-data, assess-rollout) in parallel, and writes the feature plan to planning/tasks/plan-<feature>.md. The Gherkin gate is folded into plan-feature; plan-system does not run it as a separate step.
  8. Present the gate. Show the maintainer: the backlog, the picked feature, and the feature plan summary. The plan plus the backlog is the one approval gate. On approval, hand the feature plan to advance-plan (several slices) or implement-change (one slice).

Read the full file on GitHub · 76 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 · 76 lines · 15 tokens per session scan A b6d4e1e0f7d3

Subscribe to this mod's changes

plan-system is a skill published in the GitHub repository leifericf/agentic-sdk (5 stars, last pushed 13d ago), licensed MIT. It adds 15 tokens to every session and 840 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 2026-08-31.

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