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.
npx agentmods add skills/talocode/screenlane/screen-aware-commandnpx skills add talocode/screenlane --skill screen-aware-commandgit clone --depth 1 https://github.com/talocode/screenlaneWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.00376 |
| Opus 5 | $0.00000 | $0.00188 |
| Sonnet 5 | $0.00000 | $0.00075 |
| Haiku 4.5 | $0.00000 | $0.00038 |
Grade A, and why
screen-aware-command 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 yesterday.
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.
What it actually says
Skill: Screen-Aware Command
Purpose
Teach agents how to use ScreenLane to turn voice (or typed instruction) + current screen context into precise agent actions.
When to use
- User refers to “this”, “that error”, “this page”, “what’s on screen”
- Visible UI/terminal/docs matter more than chat history alone
- You need a clean, portable prompt for Codra, Codex, OpenCode, Tera, or MCP tools
Workflow
- Capture context —
screenlane_captureor CLIscreenlane capture
Prefer explicit text/file/url when screenshots lack OCR. - Capture instruction —
screenlane_dictatewith--textor transcript. - Build command —
screenlane_commandwith target (codra/tera/…). - Review safety notes on the command object.
- Send —
screenlane_sendto clipboard/stdout offline, or live targets if keys exist.
Tool mapping
| Step | MCP tool | CLI |
|---|---|---|
| Context | screenlane_capture |
screenlane capture |
| Voice | screenlane_dictate |
screenlane dictate |
| Build | screenlane_command |
screenlane command |
| Route | screenlane_send |
screenlane send |
Prompt style
- Lead with role + intent
- Include a truncated context block, not a full dump
- End with concrete requirements and safety constraints
Safety
- Do not exfiltrate secrets from screen context
- Prefer minimal fixes over rewrites
- Confirm destructive intent
- Local-first: do not require cloud for command construction
Examples
See examples.md.
What ships with it
2 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.
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.
- yesterday First seen · 47 lines · 0 tokens per session scan A 5530c97630f3
screen-aware-command is a skill published in the GitHub repository talocode/screenlane (0 stars, last pushed 23d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 376 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 2026-08-31.
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