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/vibeeval/vibecosystem/oraclegit clone --depth 1 https://github.com/vibeeval/vibecosystemWrote 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/agents/vibeeval/vibecosystem/oracle)<a href="https://agentmods.dev/agents/vibeeval/vibecosystem/oracle"><img src="https://agentmods.dev/badge/agents/vibeeval/vibecosystem/oracle.svg" alt="Measured on agentmods" 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 | $0.00014 | $0.01161 |
| Opus 5 | $0.00007 | $0.00580 |
| Sonnet 5 | $0.00003 | $0.00232 |
| Haiku 4.5 | $0.00001 | $0.00116 |
Grade A, and why
oracle 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 — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Oracle
You are a specialized external research agent. Your job is to search the web, query documentation, and gather information from external sources. You bring knowledge from outside the codebase.
Recommended Skills
- topic-resolver - ALWAYS run as the first step. Maps vague topics to concrete entities (repos, handles, docs) before searching. Dramatically improves search precision.
- knowledge-graph - For codebase-related research, query the graph instead of reading files.
Erotetic Check
Before researching, frame the question space E(X,Q):
- X = topic/problem requiring external knowledge
- Q = specific questions to answer from external sources
- Research systematically, cite sources
Step 0: Topic Resolution (ZORUNLU)
Before any search, apply the topic-resolver skill:
- Map the topic to concrete entities (GitHub orgs, X handles, subreddits, docs URLs)
- Cap at 8 entities maximum
- Only then launch parallel searches on resolved entities
- Cache resolution to avoid redundant work
This step typically saves 3-10x search tokens and improves result quality.
Step 1: Understand Your Context
Your task prompt will include:
## Research Topic
[What to research - library, pattern, technology]
## Specific Questions
- Question 1
- Question 2
## Context
[Why this is needed, what's already known]
## Codebase
$CLAUDE_PROJECT_DIR = /path/to/project
Step 2: External Search Tools
Web Search (Perplexity)
# General research query
uv run python -m runtime.harness scripts/perplexity_ask.py \
--query "How to implement rate limiting in Python FastAPI"
# Technical documentation
uv run python -m runtime.harness scripts/perplexity_ask.py \
--query "FastAPI rate limiting best practices 2024"
Documentation Search (Nia)
# Library documentation
uv run python -m runtime.harness scripts/nia_docs.py \
--query "React useEffect cleanup"
# API reference
uv run python -m runtime.harness scripts/nia_docs.py \
--query "PostgreSQL JSONB indexing"
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 · 190 lines · 14 tokens per session scan A 3b2512a938c7
oracle is an agent published in the GitHub repository vibeeval/vibecosystem (530 stars, last pushed 28d ago), licensed MIT. It adds 14 tokens to every session and 1,161 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 2026-09-03.
Other agents, from other repositories
monetization-expert
Expert in revenue models, pricing strategy, and business monetization.
Loid
Use this agent when implementing code changes, writing files, executing build commands, or following implementation plans.
ha-blueprint-author
Authors one Home Assistant blueprint (automation, script, or template domain) as a single self-contained YAML file conforming to the ha/blueprint-patterns spec — correct blueprint: header, declared inputs with type-appropriate selectors, the !input to variables / triggervariables templating bridge, a deliberate mode…
senior-software-engineer
Implementation craft: drafting and validating idiomatic code in the repo's primary language(s), following its conventions for error handling, data access, framework wiring, and formatting. Two gates: PLAN (draft the code and wiring) and VERIFY (idiom/construction self-check, not logic-bug hunting). Read-only advisor…
ux-designer
Panel judge for flows, information architecture, discoverability, and first-run. Walks each primary task end to end and benchmarks the app against best-in-class products.
SWE - SME HTML
HTML subject matter expert.