plan-tighten

plan-tighten is a skill for Claude Code, Codex from dcosson/h2. It costs 95 tokens per session (1,775 once invoked), scanned A, original, MIT.

A focused editing workflow that makes a software plan shorter by removing repetition, review leftovers, and unnecessary examples. It preserves technical decisions, interfaces, and acceptance requirements.

In plain words
What is it for?
Use it on a reviewed plan document to cut redundant prose and examples while keeping the details needed to build and verify the software.
Why use it?
Overly long plans are harder to read and maintain, especially when the same information appears in several forms.

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/dcosson/h2/plan-tighten
Any agent
npx skills add dcosson/h2 --skill plan-tighten
Clone the repo
git clone --depth 1 https://github.com/dcosson/h2

Made for: Claude Code, Codex.

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 plan-tighten

README.md
[![agentmods](https://agentmods.dev/badge/skills/dcosson/h2/plan-tighten.svg)](https://agentmods.dev/skills/dcosson/h2/plan-tighten)
Your own site
<a href="https://agentmods.dev/skills/dcosson/h2/plan-tighten"><img src="https://agentmods.dev/badge/skills/dcosson/h2/plan-tighten.svg" alt="Measured on agentmods" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,775 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 $0.00095 $0.01775
Opus 5 $0.00048 $0.00888
Sonnet 5 $0.00019 $0.00355
Haiku 4.5 $0.00010 $0.00178

Measured 4d ago against content hash a0c43a240f76, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan-tighten 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 4d 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.

internal/config/templates/styles/opinionated/skills/plan-tighten/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan Tighten

Surgically trim a plan doc. The git commit is the audit trail — author reverts specific chunks they disagree with. Different mental mode from plan-review (correctness) and plan-incorporate (applying review feedback): this is a focused pass on writing tightness only. Do not change technical decisions, do not re-litigate scope, do not rewrite voice — only cut.

Inputs

  • $0: Doc identifier (e.g., 04d-oltp-sql-engine) or path to a single plan doc
  • Plans directory: docs/plans/ (or the project's established plans directory)

Phase 0: Preconditions

  1. Refuse if uncommitted review files exist for this doc: docs/plans/$0*review*.md. Reviews must be incorporated first — they may inform what's canonical or load-bearing. Tell the user "run /plan-incorporate first" and exit.
  2. Refuse if the working tree is dirty for this doc. git diff --quiet -- docs/plans/$0*.md must succeed. Each tighten pass should be a clean, reviewable commit so the author can revert specific chunks.

Phase 1: Read Context

  1. Read the target doc docs/plans/$0.md and its companion test harness docs/plans/$0-test-harness.md (if it exists)
  2. Read the parent architecture doc and plan index — so you know what's canonical there vs. duplicated here
  3. Read sibling plan docs only as needed to verify candidates are duplicates (do not read everything proactively — that's a waste of context)
  4. Record wc -l baseline for the diff stats at the end

Phase 2: Identify Cut Candidates

Pass through the doc and tag candidates by pattern. Do NOT edit yet — build the full list first so Phase 3 can decide whether the total reduction is worth it.

Patterns to cut

  • Review residue: "Previously open: …", "addressed in R2", parenthetical references to prior-round feedback. Once incorporated, these are noise — the disposition table is the audit history.
  • Restated rationale: the same "why" appears in 3 places (motivation, summary, decision log) without each adding distinct content. Keep the canonical occurrence; cut the others or replace with a one-line cross-reference.
  • Defensive justification: "Why X over Y" sections that are 10× longer than the decision warrants. Two sentences usually suffice unless Y is a non-obvious alternative a reader will independently propose.
  • Pre-explained tables / table-explained prose: prose paragraph immediately followed by a table that says the same thing. Keep one (usually the table).
  • Illustrative code with no non-obvious logic: a 30-line code block where the function signature + a sentence of prose conveys the same information. Cut the body, keep signature + prose. But keep code that shows non-obvious logic, ordering invariants, edge-case handling, or wire-format details.
  • Duplicate code blocks: same function shown twice with small diffs across sections. Show once, note the variant in prose.
  • Test enumeration verbosity: 12 bullet-points each starting "test_a_does_…" where the difference is one phrase per bullet. Group by what's covered (e.g., "test_a covers id-based dedup across 4 cases: empty seen-set, single-id seen, multi-id seen, post-compaction id …"). Keep the test count and coverage commitment; cut the per-bullet ceremony.
  • Adjacent overlapping sections: "What this supersedes" + "What gets removed" + "Migration" often re-cover the same deletions. Consolidate into one section per concern.
  • Stale "Open questions" entries: questions that have been answered elsewhere in the body. Move the answer to its proper section if needed, delete the open-questions entry.
  • Defensive doc sections: paragraphs anticipating reviewer questions where the answer is already implicit in the design.
  • Connecting phrases that don't connect: "Note that…", "It's worth mentioning…", "As discussed above…" leading into a sentence that stands on its own. Cut the lead-in.

Read the full file on GitHub · 102 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. 4d ago First seen · 102 lines · 95 tokens per session scan A a0c43a240f76

Subscribe to this mod's changes

plan-tighten is a skill published in the GitHub repository dcosson/h2 (159 stars, last pushed 8d ago), licensed MIT. It adds 95 tokens to every session and 1,775 once invoked, about $0.0005 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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