Borrowing it
Nothing to install: this file belongs to stacklok/toolhive-studio. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/stacklok/toolhive-studio/main/.claude/skills/deep-links/SKILL.mdgit clone --depth 1 https://github.com/stacklok/toolhive-studioWrote 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/stacklok/toolhive-studio/deep-links)<a href="https://agentmods.dev/skills/stacklok/toolhive-studio/deep-links"><img src="https://agentmods.dev/badge/skills/stacklok/toolhive-studio/deep-links/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.
<a href="https://agentmods.dev/skills/stacklok/toolhive-studio/deep-links"><img src="https://agentmods.dev/badge/skills/stacklok/toolhive-studio/deep-links.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 36 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 5.1 | $0.00053 | $0.01468 |
| Opus 5.5 | $0.00021 | $0.00587 |
| Sonnet 5.5 | $0.00011 | $0.00294 |
| Haiku 4.5 | $0.00005 | $0.00147 |
Grade A, and why
deep-links 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.
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.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Links in ToolHive Studio
Deep links allow external systems (browsers, terminals, other apps) to trigger navigation inside ToolHive Desktop via the toolhive-gui:// custom protocol.
About this document: Much of the content in the reference docs is the result of research into how other Electron apps implement deep links. Some design decisions are implemented; others describe the intended direction but are not yet in the codebase. The base skill reflects the current implementation. The reference docs reflect the research and design intent — read them with that in mind, and update them when relevant implementation decisions change.
URL Schema
toolhive-gui://v1/<intent>[?<query>]
Examples:
toolhive-gui://v1/open-registry-server-detail?serverName=fetch— open a registry server detail pagetoolhive-gui://v1/open-registry-server-install?serverName=fetch— open the registry server detail page and auto-open the install dialogtoolhive-gui://v1/open-registry-skill-detail?namespace=io.github.stacklok&skillName=skill-creator— open a registry skill detail pagetoolhive-gui://v1/open-registry-skill-install?namespace=io.github.stacklok&skillName=skill-creator&version=v1.0.0— open the skill detail page and auto-open the install dialog with the reference (and optional?versiontag) prefilled. Tag-only — OCI digests (sha256:…) are intentionally not supported becausesafeIdentifierrejects colons; users wanting digest pinning can paste it into the dialog directly.
The v1 segment is the version. The intent is a kebab-case action name. Query params carry intent-specific data.
Current Implementation
Key Files
| File | Role |
|---|---|
common/deep-links.ts |
Single source of truth. All deep link definitions: intent name, Zod param schema, navigation target. |
main/src/deep-links/parse.ts |
Parses and validates a raw URL string using the schemas from common/deep-links.ts. |
main/src/deep-links/index.ts |
Entry point: extracts URL from argv (Windows/Linux), waits for window ready, dispatches via IPC. |
main/src/deep-links/squirrel.ts |
Squirrel.Windows-specific protocol registration. |
What ships with it
3 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.
- 2mo ago First seen · 113 lines · 53 tokens per session scan A d728d7f404f1
deep-links is a skill published in the GitHub repository stacklok/toolhive-studio (173 stars, last pushed today), licensed Apache-2.0. It adds 53 tokens to every session and 1,468 once invoked, about $0.0002 per session on Opus 5.5. 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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