apps

apps is a skill for Claude Code, Codex from zhaohb/deskmate. It costs 0 tokens per session (1,620 once invoked), scanned A, original, MIT.

A guide for using DeskMate, a local screen and audio recorder that stores activity such as application use, visible text, typed input, edited files, and audio transcripts.

In plain words
What is it for?
Use it to request activity summaries for a time range, review apps and windows, inspect captured text and files, and check recording health or audio summaries.
Why use it?
It provides a way to inspect recent computer activity and combine it into summaries without manually reviewing every recording.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to request activity summaries for a time range, review apps and windows, inspect captured text and files, and check recording health or audio summaries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zhaohb/deskmate/apps
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 zhaohb/deskmate --skill apps
Clone the repo
git clone --depth 1 https://github.com/zhaohb/deskmate

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 apps

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhaohb/deskmate/apps/github.svg)](https://agentmods.dev/skills/zhaohb/deskmate/apps)
Your own site
<a href="https://agentmods.dev/skills/zhaohb/deskmate/apps"><img src="https://agentmods.dev/badge/skills/zhaohb/deskmate/apps/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 apps

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhaohb/deskmate/apps"><img src="https://agentmods.dev/badge/skills/zhaohb/deskmate/apps.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,620 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00000 $0.01620
Opus 5.5 $0.00000 $0.00648
Sonnet 5.5 $0.00000 $0.00324
Haiku 4.5 $0.00000 $0.00162

Measured 2mo ago against content hash 4d8ef0c1509c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

apps 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 2mo ago.

The scan reads SKILL.md. This mod also ships 18 executable files (__init__.py, agent.py, ai-habits/app.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

deskmate/apps/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.

DeskMate skill

You are an AI agent with access to deskmate, a local screen and audio recorder. You can query the user's recent screen activity, audio transcriptions, and UI events through the local REST API.

API base

http://127.0.0.1:3030

Available tools

You have the following tools (invoke via tool_calls in agent mode, or HTTP as documented).

activity_summary tool (call first for day recap)

Same as GET /activity-summary below. In agent mode, call the activity_summary tool with start_time and end_time from Context before writing a recap.

activity-summary (preferred for broad overviews)

Aggregated bundle for day recap / habits. Returns apps with minutes, windows/tabs, key_texts (OCR + typed input), edited_files, audio_summary, snippets, optional memories, recording health, and guidance.

GET /activity-summary?start_time=<ISO8601>&end_time=<ISO8601>

Response shape (key fields):

{
  "apps": [{"name": "Cursor.exe", "minutes": 42.5, "frame_count": N, "first_seen": "...", "last_seen": "..."}],
  "windows": [{"app_name": "...", "window_name": "...", "minutes": N, "browser_url": "..."}],
  "key_texts": [{"text": "...", "app_name": "...", "window_name": "...", "timestamp": "..."}],
  "edited_files": [{"path": "c:/proj/file.md", "frame_count": N}],
  "audio_summary": {"segment_count": N, "speakers": [...], "top_transcriptions": [...]},
  "snippets": [{"source": "screen|audio", "text": "...", "timestamp": "..."}],
  "data_status": "ok|no_capture_in_range|not_recording|empty_but_recording",
  "guidance": {"next_best_query": "..."}
}

Do not use raw title_change UI events for narratives — use key_texts, snippets, and OCR.

search (for targeted queries)

Search screen captures (OCR text, accessibility text) and audio transcriptions.

GET /search?limit=20&content_type=all&start_time=<ISO8601>&end_time=<ISO8601>

Query parameters:

  • q: text search query (optional for OCR; required for audio/UI)
  • content_type: "all" | "ocr" | "audio" | "ui"
  • limit: max results (default 20)
  • offset: pagination offset
  • start_time / end_time: ISO 8601 timestamps
  • app_name: filter by app (e.g. "chrome.exe", "Cursor.exe")
  • window_name: filter by window title
  • min_length / max_length: filter by text length
  • speaker_ids: filter audio by speaker IDs (comma-separated)

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. 2mo ago First seen · 141 lines · 0 tokens per session scan A 4d8ef0c1509c

Subscribe to this mod's changes

apps is a skill published in the GitHub repository zhaohb/deskmate (113 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,620 tokens. 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 2026-08-30.

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