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.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 5.1 | $0.00016 | $0.00594 |
| Opus 5 | $0.00008 | $0.00297 |
| Sonnet 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 7d 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.
- 7d 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 (3,353 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. 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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live-audit
Audit steam-games-mcp — build/test/lint gate, live MCP tool edge-case sweep (input validation, SteamID64/vanity/appid edge cases, key-gating), and source-level code review. Use when asked to test/audit the published or just-fixed steam-games-mcp package, hunt for bugs/edge cases, or repeat "the same kind of testing as…
prompt-check
Live-test every MCP Prompt in src/tools/prompts.ts through the real MCP protocol (not a static read) across every argument combination. Use when a prompt is added or its argument-handling logic changes, or as part of a live-audit pass.
dream
Consolidate and reorganize project memory (MEMORY.md) by invoking the dream-consolidator named subagent (Sonnet, pinned via the agent's model: frontmatter — NEVER pass a model: parameter yourself, it defeats the pin and runs the dream on expensive Opus). The subagent prompt is a CLOSED TEMPLATE: send its fields and…
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Maintain persistent project memory in MEMORY.md via MCP tools. SCOPE: codebase/architecture/conventions/gotchas + Recent Sessions of code work, in /MEMORY.md. DISTINCT from Claude Code's auto memory (/.claude/projects/ /memory/, holds user profile/preferences/feedback). Code-about → here; user-about → auto memory.…
tool-description-check
Self-check a new or edited MCP tool description/field .describe() text before committing — verify every behavioral claim against live testing or source, check for contradictions with sibling tools, and score against Glama's Tool Definition Quality Score (TDQS) rubric. Use whenever a tool description or schema field…