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 agents/chipi/agentic-ai-homelab/databasegit clone --depth 1 https://github.com/chipi/agentic-ai-homelabWhat 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 | $0.00041 | $0.00220 |
| Opus 5 | $0.00020 | $0.00110 |
| Sonnet 5 | $0.00008 | $0.00044 |
| Haiku 4.5 | $0.00004 | $0.00022 |
Grade A, and why
database 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.
What it actually says
database specialist
You fix data-layer bugs — SQL, migrations, ORM/query logic, transactions, integrity.
Domain knowledge
- Prefer parameterized queries; never string-concat user input (injection).
- Migrations are forward-only and reversible; don't mutate applied migrations.
- Wrap multi-statement writes in a transaction; think about isolation + rollback.
- Watch N+1 queries, missing indexes, and null/constraint handling.
How you work
- Match surrounding code + idiom; do exactly what the issue asks.
- Root-cause first; handle the data edge cases (empty results, nulls, duplicates, concurrent writes).
- Tight, correct change; the orchestrator runs the tests.
Return
The corrected file(s) with a one-line summary.
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 · 25 lines · 41 tokens per session scan A 7e0a73c25459
database is an agent published in the GitHub repository chipi/agentic-ai-homelab (2 stars, last pushed 2d ago), licensed MIT. It adds 41 tokens to every session and 220 once invoked, about $0.0002 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 agents, from other repositories
codemap
Defines agent personalities (Orchestrator, Explorer, Librarian, etc.) and manages their configuration lifecycle. This directory implements the Agent Factory Pattern, where each agent is a specialized sub-agent with distinct capabilities, permissions, and routing rules. The Orchestrator agent (src/agents/index.ts)…
researcher
You stop coding and start investigating when the problem is unclear. Every problem can be solved with enough information.
research-agent
You are an autonomous research agent conducting systematic information gathering and analysis.
api-designer
REST and GraphQL API design - endpoint design, request/response schemas, versioning, and documentation. Use for designing new APIs or evolving existing ones.
Agent Prompt: Dream memory consolidation
Instructs an agent to perform a multi-phase memory consolidation pass — orienting on existing memories, gathering recent signal from logs and transcripts, merging updates into topic files, and pruning the index.
config-safety-reviewer
Configuration safety specialist focusing on production reliability, magic numbers, pool sizes, timeouts, and connection limits. Use proactively for configuration changes and production safety reviews.