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 SearchCans/searchcans-skills --skill searchcans-serp-content-gapgit clone --depth 1 https://github.com/SearchCans/searchcans-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/searchcans/searchcans-skills/searchcans-serp-content-gap)<a href="https://agentmods.dev/skills/searchcans/searchcans-skills/searchcans-serp-content-gap"><img src="https://agentmods.dev/badge/skills/searchcans/searchcans-skills/searchcans-serp-content-gap/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/searchcans/searchcans-skills/searchcans-serp-content-gap"><img src="https://agentmods.dev/badge/skills/searchcans/searchcans-skills/searchcans-serp-content-gap.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 | $0.00076 | $0.00997 |
| Opus 5 | $0.00038 | $0.00498 |
| Sonnet 5 | $0.00015 | $0.00199 |
| Haiku 4.5 | $0.00008 | $0.00100 |
Grade A, and why
searchcans-serp-content-gap 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 12d 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SearchCans SERP Content Gap
Turn a current localized SERP into a concise content decision brief grounded in observed result features. Treat the output as a research snapshot, not a rank-tracking guarantee or a claim that every feature appears on every SERP.
Define the search market
Collect the target keyword, search engine, country, language, intended audience, and the page or product the user wants to improve. Use country and language together; do not silently substitute a default market when localization matters.
Set SEARCHCANS_API_KEY in the execution environment. Never store it in a file or commit it.
Collect SERP evidence
Run one page first. Request more pages only if the analysis requires them; --page 3 sends the API batch parameter page=3, which requests pages 1–3 and consumes additional search credits. The script retries only transient failures, twice at most by default; use --retries 1 when credit minimization matters more than recovery.
Pagination safety
This Skill deliberately uses only the API parameter page; it never sends p. p is a Google-specific direct-page selector outside this workflow. Never combine p and page in a manual modification of the request: the parameters describe different modes and their combined response is not a reliable evidence set.
For Google, --page N is an inclusive batch request for pages 1 through N. The returned organic list is flattened, but every result retains its upstream page field and the report adds pagination.observed_results_by_upstream_page. Treat position as a position within that upstream page, not a global rank across the batch.
For Bing, use --page 1 only. Multi-page Bing requests are blocked in this Skill until the API returns a verifiable batch with results from the requested additional page. This guard prevents a misleading multi-page content brief.
For multi-page jobs, the default --account-mode auto makes one Account API pre-flight call and caps the fetched page count to the available credit balance. Use --account-mode warn to observe the budget without changing scope, enforce to stop before an insufficient job, cap to force capping for any page count, or off to skip the account check. The report retains only a sanitized account_guard summary; it never includes account email or API key data.
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.
- 12d ago First seen · 68 lines · 76 tokens per session scan A 8a5426c7b15e
searchcans-serp-content-gap is a skill published in the GitHub repository SearchCans/searchcans-skills (3 stars, last pushed 17d ago), licensed Apache-2.0. It adds 76 tokens to every session and 997 once invoked, about $0.0004 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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