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linkedin-network-capture-replay

linkedin-network-capture-replay is a skill for Claude Code, Codex from samihalawa/linkedin-godmode-plugin. It costs 40 tokens per session (189 once invoked), scanned A, original, MIT.

A skill for finding and replaying the web requests made by an authorized LinkedIn browser session. Web requests are the messages a browser sends to a website to load data or perform actions.

In plain words
What is it for?
Use it to capture one relevant request, replay it through HTTP tools, and verify the result.
Why use it?
It can provide a more reliable way to repeat a LinkedIn action when clicking through the page is fragile.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the linkedin-godmode-plugin plugin — 5 skills, 1 MCP server shipped together

not rated 0repo 7d ago A scan 40 tokens original MIT

Good fit Use it to capture one relevant request, replay it through HTTP tools, and verify the result.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/samihalawa/linkedin-godmode-plugin/linkedin-network-capture-replay
View source ↗ samihalawa/linkedin-godmode-plugin npmjs.com
Install

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.

Any agent
npx skills add samihalawa/linkedin-godmode-plugin --skill linkedin-network-capture-replay
Clone the repo
git clone --depth 1 https://github.com/samihalawa/linkedin-godmode-plugin

Made for: Claude Code, Codex.

Or install linkedin-godmode-plugin, the plugin that ships this one along with the rest of its 5 skills, 1 MCP server.

Wrote 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.

agentmods badge for linkedin-network-capture-replay

README.md
[![agentmods](https://agentmods.dev/badge/skills/samihalawa/linkedin-godmode-plugin/linkedin-network-capture-replay/github.svg)](https://agentmods.dev/skills/samihalawa/linkedin-godmode-plugin/linkedin-network-capture-replay)
Your own site
<a href="https://agentmods.dev/skills/samihalawa/linkedin-godmode-plugin/linkedin-network-capture-replay"><img src="https://agentmods.dev/badge/skills/samihalawa/linkedin-godmode-plugin/linkedin-network-capture-replay/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.

agentmods 80×15 button for linkedin-network-capture-replay

Your own site · 80×15
<a href="https://agentmods.dev/skills/samihalawa/linkedin-godmode-plugin/linkedin-network-capture-replay"><img src="https://agentmods.dev/badge/skills/samihalawa/linkedin-godmode-plugin/linkedin-network-capture-replay.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 189 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.00189
Opus 5.5 $0.00016 $0.00076
Sonnet 5.5 $0.00008 $0.00038
Haiku 4.5 $0.00004 $0.00019

Measured 2mo ago against content hash 45113b386339, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

linkedin-network-capture-replay 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 2mo 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.

skills/linkedin-network-capture-replay/SKILL.md · 18 lines

What it actually says

Network capture and replay

  1. Start browser_network with bodies disabled.
  2. Produce exactly one relevant browser interaction.
  3. Read and filter by URL, method, resource type, and status.
  4. If needed, clear and repeat with bodies enabled and narrow caps.
  5. Build a generic http_request; never supply a literal Cookie header.
  6. Use sessionId for in-memory browser cookies. Use linkedinWebPreset only when the captured request requires csrf-token.
  7. Replay once. Do not retry writes implicitly.
  8. Verify through a fresh read or visible capture.

See references/replay-checklist.md for minimization and redaction rules.

Files

What ships with it

2 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.

Changes

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.

  1. 2mo ago First seen · 18 lines · 40 tokens per session scan A 45113b386339

Subscribe to this mod's changes

linkedin-network-capture-replay is a skill published in the GitHub repository samihalawa/linkedin-godmode-plugin (0 stars, last pushed 7d ago), licensed MIT. It adds 40 tokens to every session and 189 once invoked, about $0.0002 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 2026-08-31.

Browser automationanchor-browserbrowser-automationbrowserbasecodex-pluginlinkedinmcp
Related

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pinchtabpinchtab/pinchtabSkill11k11d agoMITA94Codex