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/linked-api/linkedin-skills/linkedinnpx skills add Linked-API/linkedin-skills --skill linkedingit clone --depth 1 https://github.com/Linked-API/linkedin-skillsWhat 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 | $0.00039 | $0.04390 |
| Opus 5 | $0.00019 | $0.02195 |
| Sonnet 5 | $0.00008 | $0.00878 |
| Haiku 4.5 | $0.00004 | $0.00439 |
Grade A, and why
linkedin 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 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.
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
1 near-identical copy found in the catalogue:
- linkedin — 89% identical, 71 lines differ
How it starts
The opening of the file, as written. The whole thing — 547 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Skill
You have access to linkedin – a CLI tool for LinkedIn automation. Use it to fetch profiles, search people and companies, send messages, manage connections, create posts, react, comment, and more.
Each command sends a request to Linked API, which runs a real cloud browser to perform the action on LinkedIn. Operations are not instant – expect 30 seconds to several minutes depending on complexity.
If linkedin is not available, install it:
npm install -g @linkedapi/linkedin-cli
Authentication
If a command fails with exit code 2 (authentication error), ask the user to set up their account:
- Go to app.linkedapi.io and sign up or log in
- Connect their LinkedIn account
- Copy the Linked API Token and Identification Token from the dashboard
Once the user provides the tokens, run:
linkedin setup --linked-api-token=TOKEN --identification-token=TOKEN
Global Flags
Always use --json and -q for machine-readable output:
LINKEDAPI_CLIENT=skill:linkedin linkedin <command> --json -q
When using this skill, run every linkedin ... example below with the
LINKEDAPI_CLIENT=skill:linkedin prefix so Linked API can attribute usage to the skill.
| Flag | Description |
|---|---|
--json |
Structured JSON output |
--quiet / -q |
Suppress stderr progress messages |
--fields name,url,... |
Select specific fields in output |
--no-color |
Disable colors |
--account "Name" |
Use a specific account for this command |
Output Format
Success:
{"success": true, "data": {"name": "John Doe", "headline": "Engineer"}}
Error:
{"success": false, "error": {"type": "personNotFound", "message": "Person not found"}}
Exit code 0 means the API call succeeded – always check the success field for the action outcome. Non-zero exit codes indicate infrastructure errors:
| Exit Code | Meaning |
|---|---|
| 0 | Success (check success field – action may have returned an error like "person not found") |
| 1 | General/unexpected error |
| 2 | Missing or invalid tokens |
| 3 | Subscription/plan required |
| 4 | LinkedIn account issue |
| 5 | Invalid arguments |
| 6 | Rate limited |
| 7 | Network error |
| 8 | Workflow timeout (workflowId returned for recovery) |
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 · 547 lines · 39 tokens per session scan A 655c8f4efc15
linkedin is a skill published in the GitHub repository Linked-API/linkedin-skills (46 stars, last pushed 19d ago), licensed MIT. It adds 39 tokens to every session and 4,390 once invoked, about $0.0002 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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