linkedin-mcp-server is a local MCP server that gives compatible AI assistants access to LinkedIn through a logged-in browser session. Agents can use it to inspect profiles and companies, search jobs, retrieve job details, and manage certain LinkedIn interactions. The catalogue add-ons operate this server and expose its LinkedIn workflows to agents.
Borrowing it
Nothing to install: this file belongs to stickerdaniel/linkedin-mcp-server. 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/stickerdaniel/linkedin-mcp-server/main/.agents/skills/btca-local/SKILL.mdgit clone --depth 1 https://github.com/stickerdaniel/linkedin-mcp-serverWrote 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/stickerdaniel/linkedin-mcp-server/btca-local)<a href="https://agentmods.dev/skills/stickerdaniel/linkedin-mcp-server/btca-local"><img src="https://agentmods.dev/badge/skills/stickerdaniel/linkedin-mcp-server/btca-local/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/stickerdaniel/linkedin-mcp-server/btca-local"><img src="https://agentmods.dev/badge/skills/stickerdaniel/linkedin-mcp-server/btca-local.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00016 | $0.00594 |
| Opus 5.5 | $0.00006 | $0.00238 |
| Sonnet 5.5 | $0.00003 | $0.00119 |
| Haiku 4.5 | $0.00002 | $0.00059 |
Grade A, and why
btca-local 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 1mo 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.
Copies of this mod
6 near-identical copies found in the catalogue:
- btca-local — 100% identical, 0 lines differ
- btca-local — 100% identical, 0 lines differ
- btca-local — 100% identical, 0 lines differ
- btca-local — 100% identical, 0 lines differ
- btca-local — 100% identical, 0 lines differ
- btca-local — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BTCA Local
BTCA Local, aka "The Better Context App Local" is a simple app defined as a skill file. The purpose of this app is to search git repos cloned onto this machine.
the BTCA Search Workflow
<end_goal> a clear, concise answer to the question with code examples </end_goal>
Startup Cases:
This skill can be invoked in a couple different ways, and your behavior should reflect that:
user invoked without extra context/question
this is the "app startup" state, almost as if a terminal app was booted up.
Your job is to search the working directory ~/.btca/agent/sandbox at the top level, just to get a list of all the repos that have been previously cloned
Then you should simply output the following markdown (filling in the existing repos):
# BTCA Local
_use your coding agent to search any git repo locally_
Previously searched:
- repo 1
- ...
Give me a question and the link to a git repo to get started!
(we can also clean out or pre-load some resources to this list...)
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.
- 1mo ago First seen · 79 lines · 16 tokens per session scan A bd9322a4bae9
btca-local is a skill published in the GitHub repository stickerdaniel/linkedin-mcp-server (4,014 stars, last pushed yesterday), licensed Apache-2.0. It adds 16 tokens to every session and 594 once invoked, about $0.0001 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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x-use-inbox
Read X direct messages, triage inbox and request folders, send contextual reviewed messages, and inspect notifications with x-use. Use for unread chats, conversation search or replies, individual DMs, and All or Mentions notifications; use x-use-engage for public-post engagement and profile outreach research.
x-use-engage
Research X posts or profiles and prepare persona-voice public replies or individual profile outreach drafts with x-use. Use for public engagement, personalized outreach research, or local lead and campaign preparation; use x-use-inbox for incoming messages, conversation replies, and notifications.
x-use-review
Daily digest for an x-use account covering health, metrics, pending drafts, and queued work in one pass, then approve/reject/process per the user's direction. Use for "how is my account doing", daily check-ins, or before any batch of approvals.
x-use-threads
Read visible X post/reply threads and prepare or resume multi-post drafts with x-use. Use when the user asks to read, compose, review, or continue a public thread on X; use x-use-inbox for direct-message conversations.
x-use-content
Create original X content in the user's persona by researching what works in the niche, drafting posts, and staging them one by one for review. Use when the user wants post ideas, content creation, or a posting pipeline.