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 thangnguyenworkspace/industry-pulse --skill research-crawl-linkedin-postsgit clone --depth 1 https://github.com/thangnguyenworkspace/industry-pulseWrote 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/thangnguyenworkspace/industry-pulse/research-crawl-linkedin-posts)<a href="https://agentmods.dev/skills/thangnguyenworkspace/industry-pulse/research-crawl-linkedin-posts"><img src="https://agentmods.dev/badge/skills/thangnguyenworkspace/industry-pulse/research-crawl-linkedin-posts/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/thangnguyenworkspace/industry-pulse/research-crawl-linkedin-posts"><img src="https://agentmods.dev/badge/skills/thangnguyenworkspace/industry-pulse/research-crawl-linkedin-posts.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 | $0.00035 | $0.06783 |
| Opus 5 | $0.00017 | $0.03392 |
| Sonnet 5 | $0.00007 | $0.01357 |
| Haiku 4.5 | $0.00003 | $0.00678 |
Grade A, and why
research-crawl-linkedin-posts 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 11d 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 — 419 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Crawl LinkedIn Posts
Argument: $ARGUMENTS (required, see Runtime Inputs)
If $ARGUMENTS is empty or missing required fields, STOP and report which fields are absent.
Preamble
Runtime Inputs
Parse from $ARGUMENTS:
--source-urls=[URL1,URL2,...] [JSON-style array of canonical LinkedIn URLs, non-empty; each entry one of 6 supported shapes per §1.0 Step 2. Singular invocation expressed as a single-element array.]
--raw-output-dir={PATH} [absolute path to a directory where per-source rendered markdown files will be written]
--max-posts={N} [positive integer per-URL cost-cap; MUST be ≥ 1, see §1.0 Step 3 + §6.0 row max-posts-zero]
# Optional power params (omit when not needed):
--posted-limit={ENUM} [any | 1h | 24h | week | month | 3months | 6months | year]
--posted-limit-date={ISO} [ISO 8601 timestamp lower-bound cutoff, e.g., 2026-04-21T00:00:00Z]
--include-quote-posts={BOOL} [default true]
--include-reposts={BOOL} [default true]
--scrape-reactions={BOOL} [default false; opt-in only, charges extra per post]
--scrape-comments={BOOL} [default false; opt-in only, charges extra per post]
--max-reactions={N} [default 5; 0 = unlimited (asymmetric with --max-posts: 0)]
--max-comments={N} [default 5; 0 = unlimited]
Validation rules (before §1.0):
--source-urls,--raw-output-dir, and--max-postsmandatory. If any missing, STOP and report which.--source-urlsmust parse as non-empty JSON array of strings. Else reject (source-urls-malformed).- Each URL must be valid HTTP(S) with host ending in
linkedin.com. First failing URL → STOP and report (source-urls-malformed). --raw-output-dirmust be absolute. Reject relative paths (caller owns path resolution).--max-postsmust parse as integer ≥ 1. Zero rejected per §6.0max-posts-zero, Actor treatsmaxPosts: 0as literal zero (returns no posts), not unlimited.
If any validation fails, STOP and report which field failed.
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.
- 11d ago First seen · 419 lines · 35 tokens per session scan A 54840414ef15
research-crawl-linkedin-posts is a skill published in the GitHub repository thangnguyenworkspace/industry-pulse (4 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 6,783 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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