跳到正文
cccskills
免费在 GitHub 公开

freetokens-offers

Read the Free AI Credits directory — enumerate currently-claimable free AI credit offers, fetch per-offer terms and claim steps, and interpret the site's trust labels — using only static HTTPS GETs.

中文简介正在准备中。当前显示原文说明。

实测评分 未实测

查看安装方法

包含的文件(1)

  • SKILL.md2.5 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

freetokens-offers

Free AI Credits (https://freetokens.custats.info) is a static, read-only catalog of free AI credit offers. There is no query API and no write surface: every skill below is a plain HTTPS GET against published documents.

When to use this skill

  • An agent needs to answer "which providers give free AI credits right now".
  • An agent needs one offer's exact terms, claim steps, source URL, or last-checked date.
  • An agent must explain what the site's trust labels mean before quoting them.

Procedure

  1. Enumerate offers. GET https://freetokens.custats.info/llms.txt for the top offers and trust-label definitions, or https://freetokens.custats.info/llms-full.txt for every active offer with summary, claim steps, and links. Lines carry review_status, verification, signup, and last_checked fields — quote them verbatim; they are the site's honesty metadata, not decoration.
  2. Fetch one offer. Each offer lives at https://freetokens.custats.info/offers/{slug}.html with a Markdown twin at /offers/{slug}.md. Prefer the .md twin. The slug is the filename stem used in llms.txt links.
  3. Interpret labels. review_status reports how far the curator reviewed the listing; verification reports what the terms rest on (social_proof = official source plus corroboration, unverified = community sources only); signup reports whether claiming needs an account; last_checked is freshness of the check, not the offer's expiry.
  4. Stay current. The listing is rebuilt at deploy time; expired offers drop out at build, so re-GET llms.txt rather than caching offer sets. https://freetokens.custats.info/feed.xml announces changes.

Constraints

  • Never present verification=unverified terms as confirmed.
  • last_checked is not the expiry date; an offer's expiry field is its enrollment deadline.
  • The site sets Content-Signal: ai-train=no, search=yes, ai-input=no in robots.txt — honor it: retrieve for user-requested answers, not training.

References

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Re-verify active offers vs official sources, fix drifted terms, refresh evidence, then issue, PR, review, merge unattended; report-only/no-merge modes. Use for daily checks or stale-content issues. Don't use for adding or editing one offer, or CI.

中文简介正在准备中。当前显示原文说明。

luongnv89/freetokens112026年10月23日 更新

Find top 10 new or improved free-AI-credit offers on X, Reddit, and the web, verify them officially, and open one review PR. Use for /offer-hunter or hunting new AI credits. Don't use for one known offer or catalog re-checks.

中文简介正在准备中。当前显示原文说明。

luongnv89/freetokens112026年10月23日 更新

Publish or refresh a few free-AI-credit offers from screenshots, X posts, or text — official sources win, X-first ones ship as early offers; validates, diffs, commits on approval. Don't use for hunting new offers, catalog re-checks, or bulk imports.

中文简介正在准备中。当前显示原文说明。

luongnv89/freetokens112026年10月23日 更新

查看 luongnv89 的全部技能

报告此技能的问题