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 SELAT-AI/selat-skills --skill scrapecreatorsgit clone --depth 1 https://github.com/SELAT-AI/selat-skillsWrote 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/selat-ai/selat-skills/scrapecreators)<a href="https://agentmods.dev/skills/selat-ai/selat-skills/scrapecreators"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/scrapecreators/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/selat-ai/selat-skills/scrapecreators"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/scrapecreators.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 | $0.00140 | $0.02268 |
| Opus 5.5 | $0.00056 | $0.00907 |
| Sonnet 5.5 | $0.00028 | $0.00454 |
| Haiku 4.5 | $0.00014 | $0.00227 |
Grade A, and why
scrapecreators 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 22d 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
scrapecreators
When To Use
Use this skill when the user needs one comprehensive public social-media dossier that deliberately spans Twitter/X, LinkedIn, Instagram, and TikTok. It retrieves public profile and content evidence for one coherent target and adds a relevant TikTok hashtag plus a region-specific trending baseline.
This is a fixed, paid bundle—not an endpoint menu. Do not use it for one simple profile or post lookup; choose the smallest matching endpoint or a narrower skill instead. It does not retrieve protected/private content, reveal contact details, send messages, post, follow, like, or otherwise mutate an account.
Workflow
-
Install the vetted recipe:
selat skill install scrapecreators -
Collect all nine required inputs and verify that they describe one coherent research target:
twitterHandleandtweetId;linkedinProfileUrl,linkedinPostUrl, andlinkedinCompanyUrl;instagramHandle;tiktokHandle,tiktokHashtag, andregion.
Handles may differ across platforms. Remove leading
@and#characters. Confirm that the tweet and LinkedIn post are public and relevant to the same subject; do not substitute unrelated examples or placeholders. -
Probe every payment challenge for free:
selat skill verify ~/.config/selat/skills/scrapecreators \ --twitterHandle "satyanadella" \ --tweetId "1632748758613241857" \ --linkedinProfileUrl "https://www.linkedin.com/in/satyanadella/" \ --linkedinPostUrl "https://www.linkedin.com/posts/satyanadella_its-been-a-busy-few-weeks-between-today-activity-7323480567562276865-F2mk" \ --linkedinCompanyUrl "https://www.linkedin.com/company/microsoft/" \ --instagramHandle "microsoft" \ --tiktokHandle "microsoft" \ --tiktokHashtag "microsoft" \ --region "US" \ --live-probe -
Show the 11 current live quotes, their expected cumulative total, and the sum of all per-step caps. Wait for explicit approval of a cumulative session budget no higher than the cap sum. A free verification is not evidence that a particular public identity will return useful provider data.
What ships with it
3 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.
- 22d ago Changed · +132 lines · -33 tokens per session c3e01a1b7e6b
- 1mo ago Changed · +2 tokens per session 7a72b3297e3b
- 1mo ago First seen · 67 lines · 171 tokens per session scan A 36efc0415da3
scrapecreators is a skill published in the GitHub repository SELAT-AI/selat-skills (2 stars, last pushed today), licensed Apache-2.0. It adds 140 tokens to every session and 2,268 once invoked, about $0.0006 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.
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