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Librechat-Mobile: Skill for Claude Code

.claude/skills/marketing-refresh/SKILL.md

marketing-refresh is a skill for Claude Code from garfiec/Librechat-Mobile. It costs 152 tokens per session (4,104 once invoked), scanned A, original, Apache-2.0.

A workflow for refreshing an app's marketing materials from one prepared demo account and capture session. It produces updated screenshots, recordings, graphics, and written store or README copy.

In plain words
What is it for?
Use it to plan what an app newcomer should see, capture demonstrations, and prepare store screenshots and listing text.
Why use it?
It keeps promotional images and descriptions consistent across the README, alternative app stores, and Google Play listing.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions CLAUDE.md; names the AskUserQuestion tool.

This is garfiec/Librechat-Mobile's own configuration. It tells Claude Code how to work on Librechat-Mobile itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Librechat-Mobile configures →

not rated 146repo +11 changed 3d ago A scan 152 tokens original Apache-2.0
View source ↗ garfiec/Librechat-Mobile
Reuse

Borrowing it

Nothing to install: this file belongs to garfiec/Librechat-Mobile. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/garfiec/Librechat-Mobile/develop/.claude/skills/marketing-refresh/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/garfiec/Librechat-Mobile

Made for: Claude Code.

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 marketing-refresh

README.md
[![agentmods](https://agentmods.dev/badge/skills/garfiec/librechat-mobile/marketing-refresh/github.svg)](https://agentmods.dev/skills/garfiec/librechat-mobile/marketing-refresh)
Your own site
<a href="https://agentmods.dev/skills/garfiec/librechat-mobile/marketing-refresh"><img src="https://agentmods.dev/badge/skills/garfiec/librechat-mobile/marketing-refresh/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 marketing-refresh

Your own site · 80×15
<a href="https://agentmods.dev/skills/garfiec/librechat-mobile/marketing-refresh"><img src="https://agentmods.dev/badge/skills/garfiec/librechat-mobile/marketing-refresh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 152 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,104 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 $0.00152 $0.04104
Opus 5.5 $0.00061 $0.01642
Sonnet 5.5 $0.00030 $0.00821
Haiku 4.5 $0.00015 $0.00410

Measured 3d ago against content hash f90cff3bdde2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

marketing-refresh 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 3d 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.

.claude/skills/marketing-refresh/SKILL.md · 278 lines

How it starts

The opening of the file, as written. The whole thing — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Marketing Refresh

Produces, from one demo account and one capture session:

Output Lives in Who reads it
Store screenshots (plain framed, half size) fastlane/metadata/android/en-US/images/{phone,tenInch}Screenshots/ F-Droid, IzzyOnDroid, the README
Feature graphic fastlane/metadata/android/en-US/images/featureGraphic.png F-Droid banner, uploaded to Play by hand
README recordings and README-only stills docs/screenshots/ the README
README Screenshots section, Why and More features copy README.md GitHub
Play screenshots (captioned canvases) built by scripts/screenshots/play.py set <dir>, never committed Play Console, by hand
Play listing text handed to the user Play Console, by hand

The tools already exist: scripts/demo-seed/ (the account) and scripts/screenshots/ (frames, captures, recordings, Play canvases, contact sheets, README check). Read both READMEs before starting. This skill is the judgment around them: what to show, in what order, with what story, and how to get it captured without a person holding the device.

Three reference files go with it:

  • reference/capture-agent.md: the brief for the agent that drives the devices, the per-shot checklist, and every device gotcha found so far.
  • reference/store-rules.md: Play, F-Droid and Apple rules, sizes and limits.
  • reference/2026-10-refresh.md: the last refresh as a worked example, from the feature index to the captions, including what was cut and why. Read it before Phase 2; it is the precedent.

Invariants

  1. Real app, real replies. Every message on screen is a real model reply from a real server, through the API the app uses. Never write or edit a reply, never retouch a screenshot. The frame, the canvas and the caption are the only things added. A weak reply is regenerated (seed.py --only X --redo X), not fixed.
  2. Never ship a shot of something broken. If a feature renders wrong during capture, leave it out of the lineup, tell the user, and record the bug. (2026-10: inline math rendered as separate blocks, so there is no math shot.)
  3. Don't oversell table stakes. A store slot goes to something a newcomer would feel and the website or other clients don't give them. "Tables fit the screen" looked fine and was cut as overselling a basic feature.
  4. A demo account only. No real names, emails, servers or personal data on screen. The persona name is the user's choice. The status bar is in demo mode on every capture.
  5. Platforms don't share an image. Never an Apple device beside an Android one (Apple's marketing guidelines). The hero shows one platform in both looks. iOS frames from the Simulator's chrome are for the GitHub README only; App Store images use Apple's product bezels and are outside this skill.
  6. One copy of each image (fastlane/README.md). The README links straight into fastlane/; docs/screenshots/ holds only what the README shows and the store doesn't. Play canvases are generated from fastlane/ and never committed.
  7. The store reads the tag. F-Droid reads fastlane/ from the tagged release commit, so the refresh must merge before the release is cut. Play takes images and text only by hand.
  8. Store text is per channel. fastlane/ text describes the open-source build; Play text is written for the Play build's defaults (ChannelPolicy, see fastlane/CLAUDE.md). Never paste one into the other unchanged.
  9. Every server or device change made for capture is temporary. Keep a list as you go and undo all of it in Phase 10.
  10. The user approves before anything image-related is committed. Device work in this skill is the user's request for device work; it does not extend to filing bugs, pushing, or uploading.

Read the full file on GitHub · 278 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. 3d ago Changed · +2 lines f90cff3bdde2
  2. 11d ago Changed · +3 lines b97f8f7b13be
  3. 21d ago First seen · 273 lines · 152 tokens per session scan A 9ae2a0233111

Subscribe to this mod's changes

marketing-refresh is a skill published in the GitHub repository garfiec/Librechat-Mobile (146 stars, last pushed yesterday), licensed Apache-2.0. It adds 152 tokens to every session and 4,104 once invoked, about $0.0006 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 2026-10-17.

Creative and mediaMarketing and SEOai-assistantai-chatandroidanthropicchat-botchatgpt
Related

marketing-refresh compared with skills from other repositories

marketing-refresh next to 6 skills from other repositories
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marketing-refreshgarfiec/Librechat-MobileSkill146yesterdayApache-2.0A152Claude Code
human-reviewIrtezaAsadRizvi/claude-human-reviewSkill146mo agononeA83Claude Code
dcf-modelNousResearch/hermes-agentSkill261kyesterdayMITA14Claude Code, Codex
hermes-agent-skill-authoringNousResearch/hermes-agentSkill261kyesterdayMITA22Claude Code, Codex
grounded-citationsNousResearch/hermes-agentSkill261kyesterdayMITA16Claude Code, Codex
systematic-debuggingNousResearch/hermes-agentSkill261kyesterdayMITA16Claude Code, Codex
openhandsNousResearch/hermes-agentSkill261kyesterdayMITA19Claude Code, Codex