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/imoonkey/openweb/linkedinnpx skills add imoonkey/openweb --skill linkedingit clone --depth 1 https://github.com/imoonkey/openwebWhat 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 | $0.00000 | $0.00903 |
| Opus 5 | $0.00000 | $0.00451 |
| Sonnet 5 | $0.00000 | $0.00181 |
| Haiku 4.5 | $0.00000 | $0.00090 |
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.
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.
Overview
Professional networking platform — social media archetype with Voyager REST/GraphQL API.
Workflows
Look up a person's profile
getProfile(variables)→ profile data →profileUrngetProfileByUrn(id ← getProfile, decorationId)→ full profile with experience, education, skills
Browse feed and news
getFeed(variables)→ posts, articles, sharesgetNewsStorylines(variables)→ trending topics, curated news
Search people, jobs, or content
searchGeo(keywords)→ geo results →geoId(fromincluded[].entityUrnsuffix)searchJobs(keywords, geoId?, count?, start?)→ job cards →jobIdgetJobDetail(jobId ← searchJobs)→ full posting with description, requirements, salary
Check connections and invitations
getConnectionsSummary()→ total count, new connectionsgetInvitations(q, count, start)→ pending invites with sender infogetMyNetworkNotifications()→ connection suggestions
Check notifications
getNotificationCards(decorationId, q, count)→ likes, comments, mentions, job alerts
Operations
| Operation | Intent | Key Input | Key Output | Notes |
|---|---|---|---|---|
| getMe | get own profile | — | name, headline, profileUrn | entry point |
| getProfile | get profile by vanity name | vanityName (URL slug) | name, headline, location, industry | via GraphQL adapter |
| getProfileByUrn | get full profile by URN | id ← getMe/getProfile, decorationId | experience, education, skills | FullProfile-76 decoration |
| getFeed | get main feed | count, sortOrder | posts, shares, author info, engagement | via GraphQL adapter |
| getConnectionsSummary | connection counts | — | total connections, new count | |
| getInvitations | pending invites | q=receivedInvitation, count, start | sender info, shared connections | paginated |
| getNotificationCards | notifications | decorationId, count, q | likes, comments, mentions, job alerts | |
| getNewsStorylines | trending news | — | topics, articles, industry updates | via GraphQL adapter |
| getCompany | company page | universalName (URL slug) | name, industry, size, followers | via GraphQL adapter |
| getMyNetworkNotifications | network updates | — | connection suggestions | |
| searchGeo | search geo IDs | keywords (location name) | geo URNs with geoId | use geoId with searchJobs |
| searchJobs | search for jobs | keywords, geoId?, count?, start? | job cards: title, company, location, posting date | via GraphQL adapter |
| getJobDetail | get job posting details | jobId ← searchJobs or URL | description, requirements, company, salary, applicants | via GraphQL adapter |
What ships with it
19 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.
- adapters/linkedin-graphql.ts 11 KB runs code
- DOC.md 6.6 KB
- examples/getCompany.example.json 279 B
- examples/getConnectionsSummary.example.json 237 B
- examples/getFeed.example.json 284 B
- examples/getInvitations.example.json 346 B
- examples/getJobDetail.example.json 265 B
- examples/getMe.example.json 221 B
- examples/getMyNetworkNotifications.example.json 241 B
- examples/getNewsStorylines.example.json 266 B
- examples/getNotificationCards.example.json 416 B
- examples/getProfile.example.json 276 B
- examples/getProfileByUrn.example.json 403 B
- examples/searchGeo.example.json 277 B
- examples/searchJobs.example.json 544 B
- manifest.json 713 B
- openapi.yaml 28 KB
- pipeline-gaps.md 2.9 KB
- PROGRESS.md 3.5 KB
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 · 77 lines · 0 tokens per session scan A f201195d14d0
linkedin is a skill published in the GitHub repository imoonkey/openweb (56 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 903 tokens. 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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