Atlas / Skills / rohitg00 / Agentkit Seo

Agentkit SeoSAFE

skills/rohitg00/agentkit-seo

The most comprehensive toolkit for Claude Code -- 135 agents, 35 curated skills, 42 commands, 176+ plugins, 20 hooks, 15 rules, 7 templates, 14 MCP configs, 26 companion apps, 52 ecosystem entries, and more.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
Apache-2.0
Stars
2,687
01

Overview

The most comprehensive toolkit for Claude Code -- 135 agents, 35 curated skills, 42 commands, 176+ plugins, 20 hooks, 15 rules, 7 templates, 14 MCP configs, 26 companion apps, 52 ecosystem entries, and more.

Read from source at commit f03e77eaf446OBSERVED · 2026-10-11
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: agentkit-seo
description: Route broad or ambiguous AgentKit SEO work to the right module while keeping context scoped. Use when a request spans multiple surfaces, asks for overall digital-presence strategy, involves provider or install architecture, needs agent-context planning, or the correct platform skill is unclear.
user-invocable: true
argument: The specific SEO optimization task or platform to focus on (e.g., GitHub, LinkedIn, CV, etc.)
---

# AgentKit SEO

## Overview

Use this skill as the orchestrator for the whole repository. Its main job is to select the right module skill, avoid loading irrelevant platform rules, and sequence cross-platform work in a sane order.

## Routing workflow

1. Identify the target surface from the request.
2. Load only the matching module skill unless the user explicitly asks for a cross-platform pass.
3. If the request spans multiple surfaces, start with `agentkit-seo-agent-context-optimization` so the factual source of truth is stable before editing platform outputs.
4. If the request involves technical issues with the skill system, consult the main repository documentation.

For broad requests with no clear surface:

- Active applications or job-description tailoring: route to `agentkit-seo-cv-ats`.
- Recruiter discovery or profile search: route to `agentkit-seo-linkedin`.
- Proof-of-work, repositories, or developer credibility: route to `agentkit-seo-github` or `agentkit-seo-web-portfolio`, based on the supplied asset.
- Audience building, posting strategy, or public conversation loops: route to `agentkit-seo-x-twitter`.
- Conflicting, scattered, or cross-platform facts: route to `agentkit-seo-agent-context-optimization` first.

## Token discipline

- Route to one module by default.
- Load the agent context file before platform references only when facts, consistency, or cross-surface rewriting matter.
- Prefer public URL inspection, local search, or a compact pasted section over asking the user to dump every asset into the prompt.
- Summarize inspected inputs and ask for the smallest missing input set.
- Do not expand into algorithm explanation unless the user asks why.

## Intake workflow

- If the user already has an agent context file, ask for or use its explicit path before rewriting platform assets.
- If the task spans multiple surfaces, or the user's facts are scattered, recommend creating or repairing the agent context file first.
- Do not block a narrow one-off edit on a full context file when the supplied material is already enough.
- For public URLs, fetch or inspect public material when tools allow it and cite which source was used.
- For private or login-gated surfaces, ask the user for pasted section text, screenshots, exports, or a local text file instead of guessing.
- If critical facts are missing, ask only for the minimum extra inputs needed to proceed.

## Module map

- LinkedIn work: `agentkit-seo-linkedin`
- GitHub work: `agentkit-seo-github`
- CV or ATS work: `agentkit-seo-cv-ats`
- Web portfolio work: `agentkit-seo-web-portfolio`
- X or Twitter work: `agentkit-seo-x-twitter`
- Personal source-of-truth context work: `agentkit-seo-agent-context-optimization`

## More Information

- **Main Repository**: [https://github.com/agentkit-seo/agentkit-seo](https://github.com/agentkit-seo/agentkit-seo)
- **Documentation**: [https://agentkit-seo.github.io/](https://agentkit-seo.github.io/)
- **Modules**: Includes specialized logic for GitHub, LinkedIn, CV/ATS, Portfolios, and X/Twitter.
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-11 · audit v0.4.1 · source sha f03e77eaf446full audit observations/trust-audit/skill/rohitg00__agentkit-seo.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-11f03e77eaf446SAFEB89first audit
05

Questions

What does the Agentkit Seo skill do?

The most comprehensive toolkit for Claude Code -- 135 agents, 35 curated skills, 42 commands, 176+ plugins, 20 hooks, 15 rules, 7 templates, 14 MCP configs, 26 companion apps, 52 ecosystem entries, and more.

Is Agentkit Seo safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Agentkit Seo access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (f03e77eaf446), read on 2026-10-11. The repository is watched, and a new audit runs when it changes — this is the first audit.

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