planning

planning is a skill for Claude Code from megamen32/LastHumanCommit. It costs 20 tokens per session (629 once invoked), scanned A, original, MIT.

A planning procedure for choosing the cheapest practical path to test a software change with a real user or system.

In plain words
What is it for?
Use it to define a small first test, compare implementation routes, set time limits, and decide what work to postpone.
Why use it?
It reduces wasted work, unnecessary coordination, and building features before checking whether they solve the real problem.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: $skill-name invocation.

Part of the last-human-commit plugin — 22 skills, 1 command, 10 hooks shipped together

Good fit Use it to define a small first test, compare implementation routes, set time limits, and decide what work to postpone.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/megamen32/lasthumancommit/planning
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.

Any agent
npx skills add megamen32/LastHumanCommit --skill planning
Clone the repo
git clone --depth 1 https://github.com/megamen32/LastHumanCommit

Made for: Claude Code.

Or install last-human-commit, the plugin that ships this one along with the rest of its 22 skills, 1 command, 10 hooks.

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 planning

README.md
[![agentmods](https://agentmods.dev/badge/skills/megamen32/lasthumancommit/planning/github.svg)](https://agentmods.dev/skills/megamen32/lasthumancommit/planning)
Your own site
<a href="https://agentmods.dev/skills/megamen32/lasthumancommit/planning"><img src="https://agentmods.dev/badge/skills/megamen32/lasthumancommit/planning/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.

agentmods 80×15 button for planning

Your own site · 80×15
<a href="https://agentmods.dev/skills/megamen32/lasthumancommit/planning"><img src="https://agentmods.dev/badge/skills/megamen32/lasthumancommit/planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 629 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00020 $0.00629
Opus 5.5 $0.00008 $0.00252
Sonnet 5.5 $0.00004 $0.00126
Haiku 4.5 $0.00002 $0.00063

Measured yesterday against content hash bdad1a3d8c25, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

planning 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.

plugins/last-human-commit/native/codex/skills/planning/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Planning

Use only when planning can materially reduce wrong-path or coordination cost.

Three-pass design

When choosing a design, use working solution -> ideal version -> 80%-value MVP even when there is only one practical approach. The architecture-design skill owns the detailed method. An obvious tiny fix needs only a short pass, not a new form. The 80% target concerns useful value, never incomplete implementation or silently missing mandatory requirements.

Procedure

Begin with current user inputs, project state and applicable verified product and LHC learning from existing indexes. Verify freshness and use prior results before redesign. Use $architecture-design for architectural decisions, risky assumptions and the end-to-end path before substantial implementation.

  1. Record the latest business outcome and accepted MVP Definition of Done.
  2. Trace the actual production consumer path.
  3. State the shortest real canary and cheapest sufficient proof.
  4. Rank direct Lead work and delegation by wall-clock, scarce quota, handoff, retry, human interruption, and wrong-path cost.
  5. Load $task-decomposition and $decompose-and-dispatch when parallel or multi-cycle work remains. Use $model-routing for actual model selection; hard decisions use the strongest suitable model before bounded execution.
  6. Treat every 20 active minutes as a progress and route checkpoint, not an agent lifetime limit.
  7. Give every declared work cycle an immutable minimum/maximum estimate and run the business time guard at observable checkpoints; report every crossed hour and original-maximum overrun. Derive that range from per-leaf work/proof and specific uncertainty. Show available slots and actual parallel dispatch; sum effort separately from capacity-respecting critical-path duration, with joins/testing/waits explicit. Twenty minutes is a checkpoint, not a task size; no unexplained doubled buffer.
  8. Obtain the initial independent Overseer audit. Full includes coherent technical review and a fresh independent Tester; extra governance needs concrete risk-reduction value. Routine technical choices belong to Lead.
  9. When a human route choice is useful, present exactly two genuinely different approaches. For each, use working solution -> ideal version -> 80%-value MVP: establish how it works, improve that design, then keep the smallest complete version with roughly 80% of the useful result. Implement that third version; state its retained value, deferred scope, cost and real acceptance check. This is one design sequence, not three builds or approval rounds. If the user requests the reasoning behind the plan, show the three passes in one plan.

Read the full file on GitHub · 59 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 Changed · +10 lines bdad1a3d8c25
  2. 1mo ago Changed · +12 lines 67e95e518f8e
  3. 1mo ago First seen · 37 lines · 20 tokens per session scan A 5e8087e2744a

Subscribe to this mod's changes

planning is a skill published in the GitHub repository megamen32/LastHumanCommit (2 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 629 once invoked, about $0.0001 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 2026-08-31.

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