plain-language

plain-language is a skill for Claude Code from oborchers/fractional-cto. It costs 168 tokens per session (1,725 once invoked), scanned A, original, MIT.

A set of rules for making planning-tool messages easy to understand. It applies plain wording to chat summaries and questions while allowing the saved plan itself to remain detailed and precise.

In plain words
What is it for?
Use it when designing commands that explain planning results, ask users questions, or present approval steps.
Why use it?
It prevents dense planning output from being difficult to follow. It also requires tickets, decisions, and pull requests to show human-readable names alongside IDs.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool.

Part of the planning-tools plugin — 5 skills, 7 commands, 3 agents shipped together

Good fit Use it when designing commands that explain planning results, ask users questions, or present approval steps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oborchers/fractional-cto/plain-language
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 oborchers/fractional-cto --skill plain-language
Clone the repo
git clone --depth 1 https://github.com/oborchers/fractional-cto

Made for: Claude Code.

Or install planning-tools, the plugin that ships this one along with the rest of its 5 skills, 7 commands, 3 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 plain-language

README.md
[![agentmods](https://agentmods.dev/badge/skills/oborchers/fractional-cto/plain-language/github.svg)](https://agentmods.dev/skills/oborchers/fractional-cto/plain-language)
Your own site
<a href="https://agentmods.dev/skills/oborchers/fractional-cto/plain-language"><img src="https://agentmods.dev/badge/skills/oborchers/fractional-cto/plain-language/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 plain-language

Your own site · 80×15
<a href="https://agentmods.dev/skills/oborchers/fractional-cto/plain-language"><img src="https://agentmods.dev/badge/skills/oborchers/fractional-cto/plain-language.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 168 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,725 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 $0.00168 $0.01725
Opus 5.5 $0.00067 $0.00690
Sonnet 5.5 $0.00034 $0.00345
Haiku 4.5 $0.00017 $0.00172

Measured 5d ago against content hash 2dbc953ae06e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

plain-language 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 5d 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.

planning-tools/skills/plain-language/SKILL.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plain Language

Planning documents are dense on purpose. What gets printed into the conversation is not.

This skill is the single owner of how planning-tools talks to the user. Every command references it; no command restates it.

Two rules, two different scopes

Rule Applies to
Plain language Chat output only — anything a /plan-* command prints into the conversation
ID + name Everywhere — chat output and the body of plan documents

Rule 1 — Plain language (chat output only)

Where it applies

Everything a /plan-* command prints into the conversation:

  • The per-question blocks in /planning-tools:plan-open-questions
  • The hand-off summary at the end of /planning-tools:plan-master
  • The scope report from /planning-tools:plan-context
  • The presentation of verifier findings in /planning-tools:plan-verify
  • The chat summary around /planning-tools:plan-progress
  • Every apply-gate summary and every AskUserQuestion option label and description

Where it does NOT apply

  • The body of a master plan .md file. Plans stay detailed, precise, and citation-heavy. master-plan-methodology owns that format. Do not shorten a plan to satisfy this skill.
  • Progress entries posted to Linear or GitHub. These keep the dense-paragraph style owned by progress-methodology. Only the chat summary wrapped around them follows this skill.

The writing rules

Assume the reader is skimming with low concentration. They will read the first sentence of each block and stop if it does not land.

  1. One idea per sentence. If a sentence has an "and" joining two ideas, split it.
  2. Short sentences. Aim for under 20 words. A long sentence is a rewrite, not a style choice.
  3. Everyday words over jargon. Say "runs first" not "is evaluated eagerly". Say "we cannot tell yet" not "the verdict is indeterminate".
  4. Expand an acronym the first time it appears in a block. Not once per document — once per block, because the reader may only read that block.
  5. Lead with the point, then the detail. The first sentence answers the question. The rest supports it.
  6. No nested clauses, no stacked qualifiers. Strip "generally", "typically", "in most cases" unless the exception is real and named.
  7. Each block stands alone. A reader who skipped the block above must still understand this one.
  8. Concrete over abstract. Name the file, the phase, the ticket, the person. "The auth helper" is worse than "_shared/auth.ts".

Read the full file on GitHub · 141 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. 5d ago First seen · 141 lines · 168 tokens per session scan A 2dbc953ae06e

Subscribe to this mod's changes

plain-language is a skill published in the GitHub repository oborchers/fractional-cto (32 stars, last pushed 5d ago), licensed MIT. It adds 168 tokens to every session and 1,725 once invoked, about $0.0007 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 2026-10-13.

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