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 kennyzir/7deer_skills --skill seo-link-strategygit clone --depth 1 https://github.com/kennyzir/7deer_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/kennyzir/7deer_skills/seo-link-strategy)<a href="https://agentmods.dev/skills/kennyzir/7deer_skills/seo-link-strategy"><img src="https://agentmods.dev/badge/skills/kennyzir/7deer_skills/seo-link-strategy/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/kennyzir/7deer_skills/seo-link-strategy"><img src="https://agentmods.dev/badge/skills/kennyzir/7deer_skills/seo-link-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00052 | $0.01149 |
| Opus 5 | $0.00026 | $0.00575 |
| Sonnet 5 | $0.00010 | $0.00230 |
| Haiku 4.5 | $0.00005 | $0.00115 |
Grade A, and why
seo-link-strategy 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 4d 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Link Strategy
Build an evidence-backed backlink opportunity list and prepare local outreach drafts. Discovery, evidence capture, draft generation, and external execution are separate states.
This Skill does not ship a current directory of platforms or verified contacts. Candidates come from the user or from research performed at runtime. Never treat a guessed address, old list, search snippet, or role-based email pattern as an observed contact.
Operating boundary
Default work is research and local draft preparation. Do not send Gmail or other messages, submit forms, purchase placements, call paid/mutating services, or change remote systems by default.
Before any external side effect:
- show the exact target, payload, account, and expected effect;
- obtain explicit user authorization for that specific action;
- execute only the authorized action; and
- record the actual result and UTC time, including failures or uncertainty.
A draft is not-sent. An opportunity is not a backlink. An attempted submission is not completed unless a real result supports that state.
Evidence contract
Each opportunity or contact record must support these fields:
| Field | Requirement |
|---|---|
name |
User-provided or runtime-discovered platform/contact label. |
source_url |
Exact page where the opportunity or contact evidence was observed. |
observed_at |
Past UTC timestamp for the actual observation, or null. Future times are rejected. |
status |
observed only with captured evidence and time; otherwise unknown. |
email |
One value present in captured evidence, or null; never constructed from hints. |
context |
User-supplied limits, conflicts, access failures, or relevance notes. |
Keep sources and observation times when data is handed from research to drafting. If a page cannot be checked, preserve the candidate with status: unknown rather than filling likely values.
1. Normalize captured contact evidence
Use scripts/contact_discoverer.py after the user or an available research tool supplies candidate URLs and captured page text. The script is offline: it extracts addresses only from the supplied capture and makes no network request.
What ships with it
4 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.
- 4d ago Changed · -168 lines · -31 tokens per session 07ada9b455ea
- 13d ago First seen · 286 lines · 83 tokens per session scan A e09155924b3b
seo-link-strategy is a skill published in the GitHub repository kennyzir/7deer_skills (313 stars, last pushed 4d ago), licensed MIT. It adds 52 tokens to every session and 1,149 once invoked, about $0.0003 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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