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 Gingiris-1031/gingiris-skills --skill gr-backlinksgit clone --depth 1 https://github.com/Gingiris-1031/gingiris-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/gingiris-1031/gingiris-skills/gr-backlinks)<a href="https://agentmods.dev/skills/gingiris-1031/gingiris-skills/gr-backlinks"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/gr-backlinks.svg" alt="Measured on agentmods" 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 | $0.00142 | $0.03897 |
| Opus 5 | $0.00071 | $0.01948 |
| Sonnet 5 | $0.00028 | $0.00779 |
| Haiku 4.5 | $0.00014 | $0.00390 |
Grade A, and why
gr-backlinks 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 7d 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 — 334 lines — stays where its author put it; the contents beside it link to each section on GitHub.
⚠️ 2C 产品的外链调整
本 skill 的 5 类渠道（Wikipedia / 媒体 PR / G2 评测 / Reddit-Quora / HARO）偏 dev/B2B。2C 消费品 / 教育 的权威链接来源不同：
- 教育：学校 / 留学机构 / 考试论坛 / 教育媒体 > 普通付费外链。
- 通用 2C：行业垂直媒体、地区 KOL、社区高赞帖。
- G2 / Capterra（B2B 软件评测站）对 2C 基本无效 → 换 App Store 评分 + 垂类榜单 + 应用媒体测评。
- YMYL 品类：权威机构背书的链接权重远高于数量；切勿买链/造评（Google 数天内识别）。
完整 2C 渠道数据库 + 公开来源见 → gingiris-seo-geo/references/2c-adaptation.md
gr-backlinks — Systematic Backlink Building
Why this skill exists
Phase 2 missing piece: We do title/content/schema/cluster optimization but have zero systematic backlink work. Article research (2026-05): backlinks are the #1 GEO signal — LLMs decide citations partly by brand authority, which is downstream of backlink graph.
Iris now runs two independent domains: gingiris.tools (content/blog, Vercel) and analook.com (product). Both are young domains with near-zero backlink profiles — gingiris.tools restarted from scratch after the 2026-05-27 migration off the banned GitHub Pages account (old github.io link equity is permanently lost, unrecoverable), and analook.com's only inbound links so far are low-DA directory submissions. On-page work alone cannot beat Wikipedia / Hootsuite / Wired for head terms on either domain — only backlink quality + count can. The upside of independent domains: every earned link now accrues to an asset we control, not to a github.io subpath.
Before planning any backlink work, read data/backlinks-status.md first — it records what's already been spent/submitted (directory batches, refunds, pending claims) so we don't re-buy or re-submit.
The 5-Channel Priority Matrix
Adopted from 2026-05 WeChat article + JeffLi1993 / AgriciDaniel / zubair-trabzada skills audit:
| Channel | SEO Value | GEO Value | Priority | Effort/week |
|---|---|---|---|---|
| Wikipedia dedicated entry | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | MAX | 3-6h (one-time setup, ongoing edits) |
| Authoritative media (PR) | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | MAX | 2h (HARO + outreach) |
| Industry reviews (G2/Capterra/PH) | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | HIGH | 1h (one-time submission) |
| Reddit/Quora discussions | ⭐⭐ | ⭐⭐⭐⭐ | HIGH | 2h (sustained presence) |
| Generic backlinks (directories/blogs) | ⭐⭐⭐ | ⭐⭐ | MED | skip until top 3 done |
What ships with it
22 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.
- data/backlinks-status.md 2.5 KB
- gr-backlinks/haro-pitch-library.md 2.1 KB
- gr-backlinks/scripts/backlinks-audit.py 7.1 KB runs code
- gr-backlinks/SKILL.md 14 KB
- gr-backlinks/submissions/alternativeto-submission.md 1.4 KB
- gr-backlinks/submissions/capterra-submission.md 1.1 KB
- gr-backlinks/submissions/g2-submission.md 1.8 KB
- gr-backlinks/submissions/stackshare-submission.md 1.4 KB
- gr-backlinks/submissions/wikidata-affine.md 2.4 KB
- gr-backlinks/templates/haro-response.md 2.7 KB
- gr-backlinks/templates/reddit-quora.md 4.7 KB
- gr-backlinks/templates/wikipedia-prep.md 5.5 KB
- haro-pitch-library.md 2.1 KB
- scripts/backlinks-audit.py 7.1 KB runs code
- submissions/alternativeto-submission.md 1.4 KB
- submissions/capterra-submission.md 1.1 KB
- submissions/g2-submission.md 1.8 KB
- submissions/stackshare-submission.md 1.4 KB
- submissions/wikidata-affine.md 2.4 KB
- templates/haro-response.md 2.7 KB
- templates/reddit-quora.md 4.7 KB
- templates/wikipedia-prep.md 5.5 KB
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.
- 7d ago First seen · 334 lines · 142 tokens per session scan A 61240b09c565
gr-backlinks is a skill published in the GitHub repository Gingiris-1031/gingiris-skills (77 stars, last pushed 2d ago), licensed MIT. It adds 142 tokens to every session and 3,897 once invoked, about $0.0007 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 2026-08-30.
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