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-writingnpx skills add talocode/screenlane --skill screen-aware-writinggit clone --depth 1 https://github.com/talocode/screenlaneWrote 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.
[](https://agentmods.dev/skills/talocode/screenlane/screen-aware-writing)<a href="https://agentmods.dev/skills/talocode/screenlane/screen-aware-writing"><img src="https://agentmods.dev/badge/skills/talocode/screenlane/screen-aware-writing.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.00188 |
| Opus 5 | $0.00000 | $0.00094 |
| Sonnet 5 | $0.00000 | $0.00038 |
| Haiku 4.5 | $0.00000 | $0.00019 |
Grade A, and why
screen-aware-writing 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 4d 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.
What it actually says
Skill: Screen-Aware Writing
Purpose
Turn rough spoken or typed instructions into polished writing based on current screen context.
Use cases
- Email reply
- X (Twitter) post
- Product update
- Support response
- README paragraph
Workflow
- Capture visible draft/notes/email (
screenlane_capture). - Take instruction (
screenlane_dictatetext mode is fine). screenlane_commandwith writing intent (reply / x post / docs).- Route to
clipboardorterafor final polish if desired.
Prompt style
- Match tone to visible context
- One strong primary draft
- Optional shorter alternative
- Do not invent facts not present in context
Safety
- Do not leak private email threads to untrusted endpoints without consent
- Prefer local clipboard when unsure
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.
- 4d ago First seen · 37 lines · 0 tokens per session scan A 5b4d11535e8d
screen-aware-writing is a skill published in the GitHub repository talocode/screenlane (0 stars, last pushed 26d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 188 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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