Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add mayank-io/mstack/plugin install fetchWrote 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/mayank-io/mstack/linkedin-post)<a href="https://agentmods.dev/skills/mayank-io/mstack/linkedin-post"><img src="https://agentmods.dev/badge/skills/mayank-io/mstack/linkedin-post/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/mayank-io/mstack/linkedin-post"><img src="https://agentmods.dev/badge/skills/mayank-io/mstack/linkedin-post.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 | $0.00096 | $0.06069 |
| Opus 5.5 | $0.00038 | $0.02428 |
| Sonnet 5.5 | $0.00019 | $0.01214 |
| Haiku 4.5 | $0.00010 | $0.00607 |
Grade A, and why
linkedin-post scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 29d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsL -o "<output_dir>/linkedin-<author>-<n>.jpg" "$big" \ How it starts
The opening of the file, as written. The whole thing — 351 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fetch LinkedIn Post
Pull a LinkedIn post's or article's content and media into a directory. This skill knows nothing about vaults — it retrieves, and stops. notes:clip turns the result into a note.
Route first: article or post
| URL | Mode | Run |
|---|---|---|
linkedin.com/pulse/<slug> |
Article | Article mode — one script, then stop. Skip Steps 1–4. |
linkedin.com/posts/…, linkedin.com/feed/update/… |
Post | Steps 1–4 below |
Never run post-mode steps on an article. Each one fails silently there: the "Feed post" scoping heading does not exist, there is no "…more" expander, the slug carries no activity id to decode a date from (-6vsuc is not one), and the post-mode image filter rejects article-cover_image and does not know article-inline_image, so every image in the body is dropped.
Browser — always gstack, never headless
LinkedIn shows almost nothing to a logged-out session, and what it does show looks like a valid short post rather than an error. Browser work goes through the gstack browser, which holds the user's session.
B="$HOME/.claude/skills/gstack/browse/dist/browse"
"$B" connect # run from the target directory — another cwd spawns a second
# daemon and kills the headed session
"$B" goto "<url>"
"$B" js '<expression>'
The daemon must be in headed mode. browse status reports either headed
(attached to the user's real Chrome, carrying their logins) or launched (gstack's
own Chromium on a fresh profile, logged into nothing). A launched daemon returns
a login wall for every gated page, and a login wall reads as a short page rather
than an error — nothing downstream will flag it. Verify the mode, and force a
restart when it is wrong:
"$B" status # must report `mode: headed`
"$B" connect --force-restart # only when it does not — a launched daemon holds a
# fresh profile with no logins, so nothing is lost
What ships with it
1 file 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.
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.
- 29d ago Changed · +45 lines · +13 tokens per session f5bcb8ab5c75
- 1mo ago Changed · +30 lines 54d6de0f23c7
- 1mo ago Changed · +36 lines 3b8e530ec546
- 2mo ago First seen · 240 lines · 83 tokens per session scan A 0f4f23f1ce58
linkedin-post is a skill published in the GitHub repository mayank-io/mstack (6 stars, last pushed 3d ago), licensed MIT. It adds 96 tokens to every session and 6,069 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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