DeepSeek-Harness-Desktop: Skill for Claude Code

.agents/skills/asc-aso-audit/SKILL.md

asc-aso-audit is a skill for Claude Code, Codex from web-casa/DeepSeek-Harness-Desktop. It costs 40 tokens per session (2,659 once invoked), scanned A, a copy of asc-aso-audit, MIT.

An offline audit of App Store metadata, meaning the text and details shown on an app's store listing. ASO, or App Store optimisation, improves how an app is found in store searches.

In plain words
What is it for?
Use it to check an app's subtitle, keywords, description, and related metadata, with optional analysis of keyword gaps and Apple-generated tags.
Why use it?
It identifies rule violations and missing search terms in local metadata files before the listing is submitted or updated.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is web-casa/DeepSeek-Harness-Desktop's own configuration. It tells Claude Code and Codex how to work on DeepSeek-Harness-Desktop 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 DeepSeek-Harness-Desktop configures →

Reuse

Borrowing it

Nothing to install: this file belongs to web-casa/DeepSeek-Harness-Desktop. 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/web-casa/DeepSeek-Harness-Desktop/main/.agents/skills/asc-aso-audit/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/web-casa/DeepSeek-Harness-Desktop

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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README.md
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Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,659 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 100% copy Near-identical to another mod 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 $0.00040 $0.02659
Opus 5 $0.00020 $0.01329
Sonnet 5 $0.00008 $0.00532
Haiku 4.5 $0.00004 $0.00266

Measured 11d ago against content hash a76e5f16db36, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

asc-aso-audit 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 11d 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.

Origin

This is a copy

100% identical to asc-aso-audit — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/asc-aso-audit/SKILL.md · 248 lines

How it starts

The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.

asc ASO audit

Run a two-phase ASO audit: offline checks against local metadata files, then keyword gap analysis via Astro MCP. When available, include Apple-generated app tags as a discoverability signal.

Preconditions

  • Metadata pulled locally into canonical files via asc metadata pull --app "APP_ID" --version "1.2.3" --dir "./metadata".
  • If metadata came from asc migrate export or asc localizations download, normalize it into the canonical ./metadata layout before running this skill.
  • For Astro gap analysis: app tracked in Astro MCP (optional — offline checks run without it).
  • For Apple-generated discoverability tags: asc app-tags list --app "APP_ID" --output json works when the API returns tags for the app.

Before You Start

  1. Read references/aso_rules.md to understand the rules each check enforces.
  2. Identify the latest version directory under metadata/version/ (highest semantic version number). Use this for all version-level fields.
  3. The primary locale is en-US unless the user specifies otherwise.

Metadata File Paths

  • App-info fields (subtitle): metadata/app-info/{locale}.json
  • Version fields (keywords, description, whatsNew): metadata/version/{latest-version}/{locale}.json
  • App name: May not be present in exported metadata. If name is missing from the app-info JSON, fetch it via asc apps info list or ask the user. Do not flag it as a missing-field error.

Phase 1: Offline Checks

Run these 5 checks against the local metadata directory. No network calls required.

1. Keyword Waste

Tokenize the subtitle field (and name if available). Flag any token that also appears in the keywords field — it is already indexed and wastes keyword budget.

Severity: ⚠️ Warning
Example:  "quran" appears in subtitle AND keywords — remove from keywords to free 6 characters

How to check:

  1. Read metadata/app-info/{locale}.json for subtitle (and name if present)
  2. Read metadata/version/{latest-version}/{locale}.json for keywords
  3. Tokenize subtitle (+ name):
    • Latin/Cyrillic scripts: split by whitespace, strip leading/trailing punctuation, lowercase
    • Chinese/Japanese/Korean: split by , or iterate characters — each character or character-group is a token. Whitespace tokenization does not work for CJK.
    • Arabic: split by whitespace, then also generate prefix-stripped variants (remove ال prefix) since Apple likely normalizes definite articles. For example, "القرآن" in subtitle should flag both "القرآن" and "قرآن" in keywords.
  4. Split keywords by comma, trim whitespace, lowercase
  5. Report intersection (including fuzzy matches from prefix stripping)

Read the full file on GitHub · 248 lines

Files

What ships with it

1 file 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. 11d ago First seen · 248 lines · 40 tokens per session scan A a76e5f16db36

Subscribe to this mod's changes

asc-aso-audit is a skill published in the GitHub repository web-casa/DeepSeek-Harness-Desktop (121 stars, last pushed 6d ago), licensed MIT. It adds 40 tokens to every session and 2,659 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to asc-aso-audit, differing in 4 lines, and is treated as a copy.