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 skills add svngoku/coding-agents-skills --skill linkup-fetchgit clone --depth 1 https://github.com/svngoku/coding-agents-skillsWrote 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/svngoku/coding-agents-skills/linkup-fetch)<a href="https://agentmods.dev/skills/svngoku/coding-agents-skills/linkup-fetch"><img src="https://agentmods.dev/badge/skills/svngoku/coding-agents-skills/linkup-fetch/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/svngoku/coding-agents-skills/linkup-fetch"><img src="https://agentmods.dev/badge/skills/svngoku/coding-agents-skills/linkup-fetch.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00058 | $0.00779 |
| Opus 5.5 | $0.00023 | $0.00312 |
| Sonnet 5.5 | $0.00012 | $0.00156 |
| Haiku 4.5 | $0.00006 | $0.00078 |
Grade A, and why
linkup-fetch 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 9d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Linkup Fetch
A local adaptation of Linkup's official fetch skill, with the original guidance bundled for offline reading. This is knowledge for an agent, not an installed API tool or a claim of Linkup endorsement. Check the dated compatibility guide before copying requests from the upstream snapshot.
Quick Reference
| Need | Guide |
|---|---|
| Official skill guidance and its bundled references | Upstream skill |
| Current contracts, source pin, attribution, and validation limits | Sources and compatibility |
| Fetch schema and rendering reference | API reference |
Core Workflow
- Establish the goal, allowed sources, output shape, freshness, and an approved call/cost budget. Do not send private data to Linkup without authorization.
- Confirm an actual Linkup connection. Inspect available MCP tool names and schemas, or the chosen SDK/API contract; skill files do not create tools.
- Verify the known public URL and choose Fetch rather than rediscovering the page through Search.
- Choose JavaScript rendering only when the page requires it and the selected client exposes that option.
- Check the retrieved Markdown and source URL; handle errors or incomplete pages explicitly instead of repeatedly guessing URLs.
- Preserve source URLs, distinguish missing evidence from negative findings, and report failures or incomplete results rather than inventing evidence.
Retrieval Boundary
Fetch reads a supplied page; it is not a general discovery query or a bulk structured-row extraction endpoint. Rendering a page does not grant permission to bypass authentication, paywalls, robots policies, or other access controls.
REST Request Example
POST https://api.linkup.so/v1/fetch, JSON body only. This is not an
instruction to make a paid validation call.
{
"url": "https://example.com/careers",
"renderJs": true
}
The response includes markdown; add object schema for typed data from that
page. instructions requires schema. Use REST/TypeScript renderJs versus Python
render_js. For LinkedIn-specific URLs, use Search rather than Fetch.
What ships with it
10 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.
- eval.yaml 488 B
- graders/check.py 6.8 KB runs code
- instructions/request-plan.md 3.9 KB
- LICENSE 1.0 KB
- references/linkup-api-reference.md 14 KB
- references/sources-and-compatibility.md 9.0 KB
- references/upstream-skill.md 4.1 KB
- rubrics/quality.md 1.4 KB
- solutions/reference-plan 3.5 KB
- tests/test_eval_grader.py 10 KB runs code
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.
- 9d ago First seen · 77 lines · 58 tokens per session scan A 4c02167d4fa8
linkup-fetch is a skill published in the GitHub repository svngoku/coding-agents-skills (12 stars, last pushed today), licensed MIT. It adds 58 tokens to every session and 779 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 2026-10-30.
linkup-fetch compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| linkup-fetchsvngoku/coding-agents-skills | Skill | 12 | today | MIT | A | 58 | Claude Code, Codex |
| skill-authoringmateaix/mateclaw | Skill | 1.2k | 3d ago | Apache-2.0 | A | 18 | Claude Code, Codex |
| iflytek-hyper-ttsiflytek/iFly-Skills | Skill | 214 | 4d ago | Apache-2.0 | A | 92 | Claude Code, Codex |
| iflytek-pdf-image-ocriflytek/iFly-Skills | Skill | 214 | 4d ago | Apache-2.0 | A | 81 | Claude Code, Codex |
| iflytek-text-proofreadiflytek/iFly-Skills | Skill | 214 | 4d ago | Apache-2.0 | A | 88 | Claude Code, Codex |
| iflytek-translateiflytek/iFly-Skills | Skill | 214 | 4d ago | Apache-2.0 | A | 65 | Claude Code, Codex |
| iflytek-video-translateiflytek/iFly-Skills | Skill | 214 | 4d ago | Apache-2.0 | A | 91 | Claude Code, Codex |