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 instructions/qdrant/skills/agents-mdgit clone --depth 1 https://github.com/qdrant/skillsWhat 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 | $0.00662 | $0.00662 |
| Opus 5 | $0.00331 | $0.00331 |
| Sonnet 5 | $0.00132 | $0.00132 |
| Haiku 4.5 | $0.00066 | $0.00066 |
Grade A, and why
skills AGENTS.md 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 2d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Qdrant Skills
Project overview
Agent skills for Qdrant vector search, built on the Agent Skills standard.
- Repository:
github.com/qdrant/skills - Format: Markdown SKILL.md files with YAML frontmatter
- Compatible agents: Claude Code, Cursor, OpenCode, OpenAI Codex, Pi
Project structure
skills/
qdrant-scaling/ # hub: links to sub-skills
SKILL.md
minimize-latency/ # leaf: actual guidance
SKILL.md
scaling-data-volume/ # hub: links to sub-skills
SKILL.md
horizontal-scaling/
vertical-scaling/
sliding-time-window/
tenant-scaling/
scaling-qps/
scaling-query-volume/
qdrant-performance-optimization/
SKILL.md
indexing-performance-optimization/
memory-usage-optimization/
search-speed-optimization/
qdrant-search-quality/
SKILL.md
diagnosis/
search-strategies/
hybrid-search/
search-types/
combining-searches/
relevance-feedback/
qdrant-monitoring/
SKILL.md
debugging/
setup/
qdrant-clients-sdk/
qdrant-deployment-options/
qdrant-edge/
qdrant-model-migration/
qdrant-multitenancy/
qdrant-sizing/
qdrant-version-upgrade/
Navigating skills locally
The same tree as the published site, reached by relative path instead of URL. Each SKILL.md links to its sub-skills, and those links are the navigation mechanism; follow them rather than assembling paths yourself.
- Read the
SKILL.mdfor the relevant skill, then follow its relative links to go deeper. Skills nest up to four levels. - If you do not have a link to the skill you need, do not guess the path. Glob
skills/**/SKILL.mdand grep the frontmatterdescriptionfields, which carry theUse whentrigger phrases. - When a tool summarizes a
SKILL.md, preserve its Markdown links exactly as written. They are the only way to reach the deeper skills.
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.
- 2d ago First seen · 76 lines · 662 tokens per session scan A 592ee974fa35
skills AGENTS.md is an instructions file published in the GitHub repository qdrant/skills (228 stars, last pushed 5d ago), licensed Apache-2.0. It adds 662 tokens to every session, about $0.0033 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 instructions, from other repositories
vestige CLAUDE.md
Claude Code instructions for samvallad33/vestige, covering vestige agent guidance, project shape, working rules, common checks and documentation.
Norn CLAUDE.md
Instructions for samad001z/Norn, covering norn — project context, what this is, stack (v1), v1 scope — build only this and not in v1 (resist).
mindkeg-mcp CLAUDE.md
Instructions for carloluisito/mindkeg-mcp, covering mind keg mcp — development guide for ai agents, project overview, repository layout, code conventions and typescript.
mindkeg-mcp AGENTS.md
Instructions for carloluisito/mindkeg-mcp, covering agents, project agent registry, personal agent registry, architecture-design and bug-fixer.
amem copilot-instructions.md
Copilot instructions for amanasmuei/amem, covering copilot instructions for amem, build, test, lint, architecture, module dependency chain and data flow.
neuromcp CLAUDE.md
Claude Code instructions for AdelElo13/neuromcp, covering project: neuromcp, context, working style, plan mode is mandatory and evidence-grounded claims only.