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-x-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-x-posts)<a href="https://agentmods.dev/skills/thangnguyenworkspace/industry-pulse/research-crawl-x-posts"><img src="https://agentmods.dev/badge/skills/thangnguyenworkspace/industry-pulse/research-crawl-x-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-x-posts"><img src="https://agentmods.dev/badge/skills/thangnguyenworkspace/industry-pulse/research-crawl-x-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 | $0.00047 | $0.08076 |
| Opus 5 | $0.00023 | $0.04038 |
| Sonnet 5 | $0.00009 | $0.01615 |
| Haiku 4.5 | $0.00005 | $0.00808 |
Grade A, and why
research-crawl-x-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 — 488 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Crawl X 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:
--handles=[h1,h2,...] [JSON-style array of bare X/Twitter handles, non-empty; no leading @, no URL. A leading @ is stripped during normalization. Singular invocation expressed as a single-element array.]
--raw-output-dir={PATH} [absolute path to a directory where per-handle rendered markdown files will be written]
--max-per-handle={N} [positive integer per-handle cost-cap; MUST be ≥ 1, see §1.0 Step 3 + §6.0 row max-per-handle-zero]
# Optional power params (omit when not needed):
--days={N} [positive integer time window in days; default 1]
Validation rules (before §1.0):
--handles,--raw-output-dir, and--max-per-handlemandatory. If any missing, STOP and report which.--handlesmust parse as a non-empty JSON array of strings. Else reject (handles-malformed).- Normalize each handle by stripping a single leading
@; the remainder must match the X handle shape (1-15 characters,[A-Za-z0-9_]only). First failing entry → STOP and report (handles-malformed). --raw-output-dirmust be absolute. Reject relative paths (caller owns path resolution).--max-per-handlemust parse as integer ≥ 1. Zero rejected per §6.0max-per-handle-zero.--daysmust parse as a positive integer when supplied; default 1.
If any validation fails, STOP and report which field failed.
Global References
APIFY_ACTOR_ID = apidojo/tweet-scraper # chosen X/Twitter scraper actor (no-cookie, date-windowed search mode)
APIFY_CALL_ACTOR = mcp__apify__call-actor # Actor invocation, waitSecs 0-45 controls inline wait; no `async` flag exists
APIFY_GET_RUN = mcp__apify__get-actor-run # run-status polling endpoint (waitSecs blocks server-side until terminal)
APIFY_GET_ITEMS = mcp__apify__get-dataset-items # dataset retrieval, projects nested dot-notation fields via fields= (auto-flatten)
APIFY_ARTICLE_ACTOR = fastcrawler/x-twitter-article-to-markdown # §3.0 Step 3 second-hop, recovers full X Article body that tweet-scraper gutted to a bare t.co (BRONZE PAY_PER_EVENT; tweetIds ≤10/run)
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 · 488 lines · 47 tokens per session scan A a4fbd89bcd2a
research-crawl-x-posts is a skill published in the GitHub repository thangnguyenworkspace/industry-pulse (4 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 8,076 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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