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 skills add samihalawa/linkedin-godmode-plugin --skill linkedin-network-capture-replaygit clone --depth 1 https://github.com/samihalawa/linkedin-godmode-pluginWrote 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/samihalawa/linkedin-godmode-plugin/linkedin-network-capture-replay)<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.
<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>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 | $0.00040 | $0.00189 |
| Opus 5 | $0.00020 | $0.00095 |
| Sonnet 5 | $0.00008 | $0.00038 |
| Haiku 4.5 | $0.00004 | $0.00019 |
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 10d 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.
What it actually says
Network capture and replay
- Start
browser_networkwith bodies disabled. - Produce exactly one relevant browser interaction.
- Read and filter by URL, method, resource type, and status.
- If needed, clear and repeat with bodies enabled and narrow caps.
- Build a generic
http_request; never supply a literalCookieheader. - Use
sessionIdfor in-memory browser cookies. UselinkedinWebPresetonly when the captured request requirescsrf-token. - Replay once. Do not retry writes implicitly.
- Verify through a fresh read or visible capture.
See references/replay-checklist.md for minimization and redaction rules.
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.
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.
- 10d ago First seen · 18 lines · 40 tokens per session scan A 45113b386339
linkedin-network-capture-replay is a skill published in the GitHub repository samihalawa/linkedin-godmode-plugin (0 stars, last pushed 21d ago), licensed MIT. It adds 40 tokens to every session and 189 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 2026-08-31.
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