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/bug-ops/zeph/qdrantnpx skills add bug-ops/zeph --skill qdrantgit clone --depth 1 https://github.com/bug-ops/zephWhat 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 | $0.00088 | $0.03722 |
| Opus 5 | $0.00044 | $0.01861 |
| Sonnet 5 | $0.00018 | $0.00744 |
| Haiku 4.5 | $0.00009 | $0.00372 |
Grade A, and why
qdrant scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
compatibility: Requires curl and a running Qdrant instance (default http://localhost:6333) How it starts
The opening of the file, as written. The whole thing — 499 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Qdrant Vector Database
Base URL: http://localhost:6333 (default). Override with QDRANT_URL env var.
All examples use curl. Replace localhost:6333 with the actual Qdrant endpoint.
Quick Reference
| Task | Endpoint |
|---|---|
| List collections | GET /collections |
| Create collection | PUT /collections/{name} |
| Delete collection | DELETE /collections/{name} |
| Collection info | GET /collections/{name} |
| Upsert points | PUT /collections/{name}/points |
| Search | POST /collections/{name}/points/search |
| Scroll (paginate) | POST /collections/{name}/points/scroll |
| Get point | GET /collections/{name}/points/{id} |
| Delete points | POST /collections/{name}/points/delete |
| Count points | POST /collections/{name}/points/count |
| Health check | GET /healthz |
Collections
List all collections
curl -s http://localhost:6333/collections | jq
Create collection
curl -s -X PUT http://localhost:6333/collections/my_collection \
-H "Content-Type: application/json" \
-d '{
"vectors": {
"size": 384,
"distance": "Cosine"
}
}' | jq
Distance metrics: Cosine, Euclid, Dot, Manhattan.
Create collection with named vectors
curl -s -X PUT http://localhost:6333/collections/my_collection \
-H "Content-Type: application/json" \
-d '{
"vectors": {
"content": {"size": 384, "distance": "Cosine"},
"title": {"size": 128, "distance": "Cosine"}
}
}' | jq
Collection info
curl -s http://localhost:6333/collections/my_collection | jq
Key fields: vectors_count, points_count, segments_count, status (green/yellow/red).
Delete collection
curl -s -X DELETE http://localhost:6333/collections/my_collection | jq
Check collection exists
curl -sI http://localhost:6333/collections/my_collection -o /dev/null -w "%{http_code}"
# 200 = exists, 404 = not found
Points
Upsert points (insert or update)
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 · 499 lines · 88 tokens per session scan A 97088b67bff5
qdrant is a skill published in the GitHub repository bug-ops/zeph (57 stars, last pushed 8d ago), licensed MIT. It adds 88 tokens to every session and 3,722 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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