Borrowing it
Nothing to install: this file belongs to prashishh/seo-geo-report-engine. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/prashishh/seo-geo-report-engine/main/.agents/skills/skill-navigator/SKILL.mdgit clone --depth 1 https://github.com/prashishh/seo-geo-report-engineWrote 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/prashishh/seo-geo-report-engine/skill-navigator)<a href="https://agentmods.dev/skills/prashishh/seo-geo-report-engine/skill-navigator"><img src="https://agentmods.dev/badge/skills/prashishh/seo-geo-report-engine/skill-navigator/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/prashishh/seo-geo-report-engine/skill-navigator"><img src="https://agentmods.dev/badge/skills/prashishh/seo-geo-report-engine/skill-navigator.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 | $0.00137 | $0.01383 |
| Opus 5 | $0.00068 | $0.00691 |
| Sonnet 5 | $0.00027 | $0.00277 |
| Haiku 4.5 | $0.00014 | $0.00138 |
Grade A, and why
skill-navigator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
skill-navigator
Pure orchestration. The user has a goal but doesn't know which capability to reach for — or the goal spans several. This skill reads the live catalog, picks the shortest correct path through it, and hands back an ordered plan the user (or the next agent) can run step by step. It does no MCP calls and produces no analysis — it routes. The CLAUDE.md routing table is a starting hint, but the inventory on disk is the source of truth: a skill exists only if its folder does.
Methodology (PERCEIVE → ANALYZE → VALIDATE → ACT)
PERCEIVE — read the live inventory. Never hardcode the skill/command list; the catalog
grows. Resolve the project if one is implied (./bin/mkt config show --project <client>), then:
ls -1 skills/ # every available skill
ls -1 commands/ # every /command workflow
for f in skills/*/SKILL.md; do printf '\n=== %s ===\n' "$f"; sed -n '1,12p' "$f"; done
sed -n '1,40p' commands/*.md # what each /command orchestrates
Read the description frontmatter of candidate skills and the intro of candidate commands so
matching is grounded in what each actually does — not in this file's memory of them. If a
client is named, read projects/<client>/client.yml and ls projects/<client>/research/ to
see which inputs/artifacts already exist (so the plan starts where the client actually is).
ANALYZE — match intent → ordered path. Decompose the ask into intents, then map each to the inventory:
- Primary skill — the one capability that most directly satisfies the core ask.
- Up to 2 supporting skills — what the primary needs upstream (e.g.
keyword-researchbeforecontent-brief) or what naturally follows downstream. - A /command if one fits — commands orchestrate multiple skills into a full deliverable
(e.g.
/discovery-audit,/growth-proposal). Prefer a command over hand-chaining skills when it already encodes the same path. - Order by dependency, not by preference: a step that consumes
research/keywords.csvcomes after the step that writes it. GTM skills (positioning-messaging,customer-research) feed SEO/content skills — sequence them first when the brand language doesn't exist yet.
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.
- 10d ago First seen · 95 lines · 137 tokens per session scan A cfa98ff88ed4
skill-navigator is a skill published in the GitHub repository prashishh/seo-geo-report-engine (5 stars, last pushed 2mo ago), licensed MIT. It adds 137 tokens to every session and 1,383 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 2026-08-31.
Other skills, from other repositories
content-amplifier
Use when the user asks to "amplify influencer content with paid media", "set up whitelisting or Spark Ads", "decide which posts to boost", "repurpose influencer content", "turn one video into multiple ads", or "build a UGC asset library"; produces (paid mode) a content-selection scorecard, a paid amplification…
campaign-planner
Use when the user asks to "plan an influencer campaign", "build a campaign blueprint", "track or close a creator campaign", or "record a late campaign correction"; produces the plan and, when requested, a non-canonical evidence tracker with scoped identity, publication, reconciliation, close, and reopen receipts. Not…
cold-outbound-sequencer
Use when the user asks to "build a B2B cold-outbound sequence", "design reply-triage branching", "plan a domain warmup / sending throttle", or "make my outbound CAN-SPAM / opt-in compliant"; produces a multi-step outbound sequence with reply-triage branches (positive / objection / referral / not-now / opt-out), a…
inbox-placement-monitor
Use when the user asks to "track where my emails are actually landing after I send", "read my seed-list inbox vs spam vs promotions results", "trend my Gmail Postmaster / Microsoft SNDS reputation", or "did placement drop after my last send"; produces a per-provider inbox/spam/promotions placement read, a domain/IP…
subject-line-lab
Use when the user asks to "generate subject line variants", "pre-score my subject lines", or "will this subject get truncated / trigger spam filters"; produces a labeled subject + preheader variant set and a per-variant heuristic pre-score card — spam-trigger flags, length/truncation across desktop + mobile…
email-sequence-designer
Use when the user asks to "design a welcome flow", "set up an abandoned-cart sequence", "build a light re-engagement branch inside a lifecycle flow", or "plan a cold-outbound sequence"; produces general lifecycle automation flows (welcome, cart, browse-abandon, post-purchase, in-flow re-engagement, B2B cold outbound)…