DeepSeek-Harness-Desktop: Skill for Claude Code

.agents/skills/asc-shots-pipeline/SKILL.md

asc-shots-pipeline is a skill for Claude Code, Codex from web-casa/DeepSeek-Harness-Desktop. It costs 79 tokens per session (3,120 once invoked), scanned A, a copy of asc-shots-pipeline, MIT.

An automation workflow for capturing iOS app screenshots from a simulator, adding device frames, and uploading them to App Store Connect. It builds and runs the app, drives its interface, and follows JSON settings and capture plans.

In plain words
What is it for?
Building and launching an app, performing planned UI actions, saving raw and framed screenshots, selecting frame devices, and uploading the results.
Why use it?
It replaces repeated manual simulator steps when producing store screenshots for different screens or devices.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument; 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-shots-pipeline/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

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 asc-shots-pipeline

README.md
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Your own site
<a href="https://agentmods.dev/skills/web-casa/deepseek-harness-desktop/asc-shots-pipeline"><img src="https://agentmods.dev/badge/skills/web-casa/deepseek-harness-desktop/asc-shots-pipeline/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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/web-casa/deepseek-harness-desktop/asc-shots-pipeline"><img src="https://agentmods.dev/badge/skills/web-casa/deepseek-harness-desktop/asc-shots-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,120 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 $0.00079 $0.03120
Opus 5.5 $0.00032 $0.01248
Sonnet 5.5 $0.00016 $0.00624
Haiku 4.5 $0.00008 $0.00312

Measured 1mo ago against content hash ed7f604c45e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

asc-shots-pipeline 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 1mo 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-shots-pipeline — 22 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-shots-pipeline/SKILL.md · 380 lines

How it starts

The opening of the file, as written. The whole thing — 380 lines — stays where its author put it; the contents beside it link to each section on GitHub.

asc screenshots pipeline (xcodebuild -> AXe -> frame -> asc)

Use this skill for agent-driven screenshot workflows where the app is built and launched with Xcode CLI tools, UI is driven with AXe, and screenshots are uploaded with asc.

Current scope

  • Implemented now: build/run, AXe plan capture, frame composition, and upload.
  • Device discovery is built-in via asc screenshots list-frame-devices.
  • Local screenshot automation commands are experimental in asc cli.
  • Framing is pinned to Koubou 0.18.1 for deterministic output.
  • Feedback/issues: https://github.com/rorkai/App-Store-Connect-CLI/issues/new/choose

Defaults

  • Settings file: .asc/shots.settings.json
  • Capture plan: .asc/screenshots.json
  • Raw screenshots dir: ./screenshots/raw
  • Framed screenshots dir: ./screenshots/framed
  • Default frame device: iphone-air

1) Create settings JSON first

Create or update .asc/shots.settings.json:

{
  "version": 1,
  "app": {
    "bundle_id": "com.example.app",
    "project": "MyApp.xcodeproj",
    "scheme": "MyApp",
    "simulator_udid": "booted"
  },
  "paths": {
    "plan": ".asc/screenshots.json",
    "raw_dir": "./screenshots/raw",
    "framed_dir": "./screenshots/framed"
  },
  "pipeline": {
    "frame_enabled": true,
    "upload_enabled": false
  },
  "upload": {
    "version_localization_id": "",
    "device_type": "IPHONE_65",
    "source_dir": "./screenshots/framed"
  }
}

If you intentionally skip framing, set:

  • "frame_enabled": false
  • "upload.source_dir": "./screenshots/raw"

2) Build and run app on simulator

Use Xcode CLI for build/install/launch:

xcrun simctl boot "$UDID" || true

xcodebuild \
  -project "MyApp.xcodeproj" \
  -scheme "MyApp" \
  -configuration Debug \
  -destination "platform=iOS Simulator,id=$UDID" \
  -derivedDataPath ".build/DerivedData" \
  build

xcrun simctl install "$UDID" ".build/DerivedData/Build/Products/Debug-iphonesimulator/MyApp.app"
xcrun simctl launch "$UDID" "com.example.app"

Read the full file on GitHub · 380 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. 1mo ago First seen · 380 lines · 79 tokens per session scan A ed7f604c45e2

Subscribe to this mod's changes

asc-shots-pipeline is a skill published in the GitHub repository web-casa/DeepSeek-Harness-Desktop (123 stars, last pushed 3d ago), licensed MIT. It adds 79 tokens to every session and 3,120 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to asc-shots-pipeline, differing in 22 lines, and is treated as a copy.

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