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 davidliuk/graph-of-skills --skill vector-skills-retrievergit clone --depth 1 https://github.com/davidliuk/graph-of-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/davidliuk/graph-of-skills/vector-skills-retriever)<a href="https://agentmods.dev/skills/davidliuk/graph-of-skills/vector-skills-retriever"><img src="https://agentmods.dev/badge/skills/davidliuk/graph-of-skills/vector-skills-retriever/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/davidliuk/graph-of-skills/vector-skills-retriever"><img src="https://agentmods.dev/badge/skills/davidliuk/graph-of-skills/vector-skills-retriever.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 | $0.00026 | $0.00409 |
| Opus 5 | $0.00013 | $0.00204 |
| Sonnet 5 | $0.00005 | $0.00082 |
| Haiku 4.5 | $0.00003 | $0.00041 |
Grade A, and why
vector-skills-retriever scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Purpose
Use this skill when the task likely needs specialized domain knowledge, scripts, or references that are not already obvious from the current context.
This retriever uses embedding similarity only. It does not use graph edges, graph propagation, or lexical expansion.
Retrieve Relevant Skills
Run:
OPENROUTER_API_KEY="${OPENROUTER_API_KEY:-$OPENAI_API_KEY}" \
OPENAI_API_KEY="${OPENROUTER_API_KEY:-$OPENAI_API_KEY}" \
OPENAI_BASE_URL=https://openrouter.ai/api/v1 \
GOS_EMBEDDING_MODEL=openai/text-embedding-3-large \
GOS_EMBEDDING_DIM=3072 \
vectorskills-query "short description of the task or current subproblem"
Diagnostic rule: do not suppress stderr and do not replace failures with fallback text. If vectorskills-query fails, keep the original stderr visible and note the real exit code so the failure remains diagnosable.
Useful flags:
vectorskills-query "debug spring boot jakarta migration build errors" --top-n 5 --max-context-chars 9000
vectorskills-query "extract text from receipts into xlsx" --json
How To Use The Results
- Start with a short task-level query.
- Read the returned skill bundle.
- Follow the retrieved skill instructions and inspect any referenced files under
/opt/graphskills/skills/<skill-name>/. - Re-query with a narrower subproblem if needed.
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.
- 13d ago First seen · 51 lines · 26 tokens per session scan A 4fe241e51ba8
vector-skills-retriever is a skill published in the GitHub repository davidliuk/graph-of-skills (207 stars, last pushed 12d ago), licensed MIT. It adds 26 tokens to every session and 409 once invoked, about $0.0001 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.
Other skills, from other repositories
graphify
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mykg
Universal Knowledge Graph for accumulating and organizing knowledge from any source. Use when ingesting documents, answering questions, maintaining wiki pages, or working with project-specific knowledge bases.
project-skill
Project-specific instructions for this workspace. Use when ingesting sources and maintaining wiki for this domain.
mykg
../../SKILL.md.
claude-md-improver
Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project…
gke-reliability
Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for disaster recovery setup or full cluster backups (use gke-backup-dr instead).