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/deepgram/wsh/visual-feedbacknpx skills add deepgram/wsh --skill visual-feedbackgit clone --depth 1 https://github.com/deepgram/wshWhat 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 | $0.00040 | $0.03109 |
| Opus 5 | $0.00020 | $0.01554 |
| Sonnet 5 | $0.00008 | $0.00622 |
| Haiku 4.5 | $0.00004 | $0.00311 |
Grade A, and why
visual-feedback scanned grade A with 1 finding 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 2d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
> 2. **If you do NOT have `wsh_*` tools**: you are in HTTP/curl fallback mode. How it starts
The opening of the file, as written. The whole thing — 385 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IMPORTANT: EXECUTION CONTEXT This skill describes what to do — domain patterns and decision-making. It does NOT describe how to call the API.
- If you have
wsh_*tools (check your toolkit forwsh_send_input,wsh_get_screen, etc.): use them directly. Operation names in this skill generally map to tool names (e.g., "send input" →wsh_send_input). When in doubt, list your availablewsh_*tools.- If you do NOT have
wsh_*tools: you are in HTTP/curl fallback mode. DO NOT GUESS endpoints or CLI subcommands. Load the full API reference first: search your workspace forskills/core/and readSKILL.md. It contains every endpoint with working curl examples and a bootstrap sequence.- Quick bootstrap:
curl -sf --unix-socket ${XDG_RUNTIME_DIR:-/tmp}/wsh/default.http.sock http://localhost/health— if that fails:wsh server -L agent-$$ --ephemeral &and retry.
wsh:visual-feedback — Communicating Visually
You can place text on the terminal screen to communicate with the human. You have two tools: overlays and panels. Choosing the right one matters.
Overlays
Floating text positioned at specific screen coordinates. They sit on top of terminal content without affecting it.
Characteristics:
- Positioned at (x, y) — you choose exactly where
- Can overlap terminal content and each other
- Don't affect the PTY or its layout
- Best for transient, contextual information
- Can have explicit
width,height, andbackgroundmaking them opaque rectangles — not just floating text
Use for: tooltips, warnings, quick tips, annotations, notifications, contextual help near relevant output. With explicit dimensions: windows, cards, dialogs, modal panels — anything that needs a solid backdrop.
Panels
Dedicated screen regions at the top or bottom edge. They shrink the PTY — the terminal gets fewer rows, and programs adapt to the reduced space.
Characteristics:
- Fixed to top or bottom
- Have a height in rows
- Carve out permanent space
- Best for persistent information
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.
- 2d ago First seen · 385 lines · 40 tokens per session scan A 23d6f5185e9b
visual-feedback is a skill published in the GitHub repository deepgram/wsh (5 stars, last pushed 3mo ago), licensed ISC. It adds 40 tokens to every session and 3,109 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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