OpenSEO is an open-source SEO platform for keyword research, rank tracking, competitor analysis, backlink analysis, site audits, and AI visibility work. It connects SEO data to AI agents through an MCP server and reusable agent skills, while allowing users to supply their own DataForSEO API key and self-host the tool. Catalogue add-ons guide agents through OpenSEO's SEO workflows.
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 agentmods add skills/every-app/open-seo/simple-issue-descriptionnpx skills add every-app/open-seo --skill simple-issue-descriptiongit clone --depth 1 https://github.com/every-app/open-seoWrote 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/every-app/open-seo/simple-issue-description)<a href="https://agentmods.dev/skills/every-app/open-seo/simple-issue-description"><img src="https://agentmods.dev/badge/skills/every-app/open-seo/simple-issue-description.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 | $0.00075 | $0.00957 |
| Opus 5 | $0.00037 | $0.00478 |
| Sonnet 5 | $0.00015 | $0.00191 |
| Haiku 4.5 | $0.00007 | $0.00096 |
Grade A, and why
simple-issue-description 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- simple-issue-description — 100% identical, 0 lines differ
- simple-issue-description — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Simple Issue Description
Write an issue a maintainer can understand in under a minute. Focus on what someone experiences and what should happen instead.
Workflow
- Read the supplied notes, conversation, issue, PR description, or diff. In a PR, also check for spec, design doc, or README changes — they often state the intent better than the description does.
- Identify the concrete problem. State who or what is affected when the source makes that clear.
- Describe the desired behavior without prescribing an implementation.
- Keep only context that helps someone understand or reproduce the problem.
- If the source is a PR or diff, describe the problem the change tries to solve, not the files or code it changes.
- Draft the issue immediately unless the problem and desired behavior cannot be determined. In that case, ask one short clarifying question.
One issue per problem. If the source bundles unrelated problems, draft the issue for the most significant one, list the others in a line each, and tell the contributor to split them into separate issues and separate pull requests.
If the source adds a capability instead of fixing a misbehavior, do not stage the absence as a bug. Describe what a user cannot do today and the full user experience of the feature: who uses it, from where, and what they see.
Do not invent user impact, reproduction steps, or certainty that the source does not support. If the source only shows cleanup, refactoring, or a possible code smell, say that no concrete problem is clear instead of manufacturing an issue — this rule wins over step 6. Reply with two or three sentences: what the source shows, and what evidence would make it issue-worthy.
If the source fixes a security weakness that is not already public, do not draft a public issue describing it. Suggest reporting it privately to the maintainer instead.
Writing rules
- Use plain language and short sentences.
- Keep the issue under 200 words unless it is clear that more is necessary to describe the reproduction steps or a large feature.
- Lead with behavior, not code, architecture, or the proposed fix. A one-sentence plain-language cause is fine when the symptom cannot be understood without it.
- Keep technical details only when they are necessary to reproduce or understand the problem. Limits and defaults that make the symptom make sense (batch sizes, quotas, caps) count as necessary.
- Preserve useful evidence such as error messages, screenshots, links, and documentation references.
- Do not mention that AI wrote or reviewed the issue.
- Avoid filler, praise, roadmap language, and exhaustive edge cases.
- Use the contributor's level of certainty. Do not present a guess as a confirmed bug; write "can" or "appears to" when the source describes a risk rather than an observed failure.
What ships with it
1 file 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 First seen · 81 lines · 75 tokens per session scan A ab3fbcbe6b76
simple-issue-description is a skill published in the GitHub repository every-app/open-seo (16,621 stars, last pushed today), licensed MIT. It adds 75 tokens to every session and 957 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 2026-08-30.
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