cli-forge-plume

A writing tool for drafting, rewriting, and checking everyday professional messages in your own voice. It covers email, workplace chat, LinkedIn messages, client replies, recruiter responses, follow-ups, refusals, and short announcements.

In plain words
What is it for?
Use it to write or revise replies, requests, follow-ups, bad-news messages, and other short professional exchanges.
Why use it?
It helps make messages clear and natural while avoiding invented details, awkward wording, and language that does not sound like you.

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/destynova2/cli-code-skills/cli-forge-plume
Any agent
npx skills add Destynova2/cli-code-skills --skill cli-forge-plume
Clone the repo
git clone --depth 1 https://github.com/Destynova2/cli-code-skills

Made for: Claude Code, Codex.

Per session 240 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,678 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 $0.00240 $0.01678
Opus 5 $0.00120 $0.00839
Sonnet 5 $0.00048 $0.00336
Haiku 4.5 $0.00024 $0.00168

Measured 2d ago against content hash b71c3954130c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cli-forge-plume 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.

cli-forge-plume/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plume Forge

Ghostwrite everyday professional exchanges so they read as the user on a good day: clear ask, human voice, zero AI tells, reply made easy.

The message is signed by the user. Claude is la plume — invisible. Same ghostwriter contract as cli-git-conventional, applied to conversation instead of commits.

Read ../gotchas.md before producing output.

Core Rules

  1. Never invent facts. No made-up dates, prices, availabilities, promises, or references to conversations that did not happen. Flag gaps with NEEDS-REVIEW instead of smoothing them over.
  2. Zero AI markers. No AI/model/assistant mentions, no meta-commentary ("voici un message que vous pouvez envoyer"), no leftover placeholders ([Nom]), and none of the typographic, lexical, or structural tells listed in references/ai-tells.md.
  3. The user's voice, not a template's. Mirror their register (tu/vous, chat vs email, dryness vs warmth) from the pasted exchange. When in doubt, slightly more sober than the recipient, never more corporate.
  4. Target-language quality. Proofread in the output language: French diacritics and agreements, natural idiom, no anglicism where a plain native word exists.
  5. Recipient calibration (the Singh rule). Write at the recipient's level, not above it: no jargon they don't share, no acronym they'd have to look up, no literary flourish where a plain sentence does the job. A detail the recipient can't act on leaves the message. Explaining to a non-expert means one concrete example or analogy, not a lecture.

Workflow

  1. Identify the surface: email, chat message, LinkedIn DM, issue/ticket comment, reply, relance, refusal, bad news, thank-you, ask.
  2. Extract the exchange brief:
    • recipient and relationship (client, colleague, recruiter, stranger),
    • register (tu/vous, formal/casual) — inferred from history if pasted,
    • the one ask or outcome,
    • context the recipient already has (do not re-explain it),
    • language, stakes, and anything forbidden (confidential, not yet public).
  3. Structure front-loaded:
    • Ask or point first. The recipient knows within 5 seconds what this message wants.
    • Context second, only what is needed to act.
    • Easy reply last: closed question, proposed options or slots, or an explicit "no is fine".
  4. Apply the exchange lenses (adapted from cli-forge-profile):
    • scan-and-recall: low cognitive load, hook before explanation, obvious next action;
    • proof before philosophy: a concrete fact beats an adjective.
  5. For follow-ups, read references/relance.md: escalation ladder, new-info rule, and the humor bank with its calibration rules.
  6. Run the AI-tells pass with references/ai-tells.md. Rewrite, do not just delete: a stripped sentence must still sound like the user.
  7. Proofread in the target language, then deliver paste-ready copy.

Read the full file on GitHub · 135 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 135 lines · 240 tokens per session scan A b71c3954130c

Subscribe to this mod's changes

cli-forge-plume is a skill published in the GitHub repository Destynova2/cli-code-skills (5 stars, last pushed 10d ago), licensed MIT. It adds 240 tokens to every session and 1,678 once invoked, about $0.0012 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.