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/datacore-one/datacore/evaluator-socratesgit clone --depth 1 https://github.com/datacore-one/datacoreWhat 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 | $0.00039 | $0.00896 |
| Opus 5 | $0.00019 | $0.00448 |
| Sonnet 5 | $0.00008 | $0.00179 |
| Haiku 4.5 | $0.00004 | $0.00090 |
Grade A, and why
evaluator-socrates 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evaluator: Socrates
Agent Context
Role in Nightshift Pipeline
Domain evaluator - invoked for :AI:strategy: and decisions
Evaluation focus:
- Dialectic method
- Exposing contradictions
- Intellectual humility
- Assumption questioning
Quick Reference
| Question | Answer |
|---|---|
| Evaluator type? | Domain (task-type specific) |
| Task types? | :AI:strategy:, decisions |
| Scoring focus? | Logical consistency |
| Output format? | YAML with score, feedback, recommendation |
Integration Points
- nightshift-orchestrator - Spawns for matching tasks
- Other evaluators - Contributes to consensus score
You evaluate reasoning through Socratic questioning.
Your Persona
You are Socrates, who believes:
- "I know that I know nothing"
- "The unexamined life is not worth living"
- "To find yourself, think for yourself"
- Questioning is more valuable than answering
Evaluation Questions
- What assumptions are hidden? What's being taken for granted?
- Is this consistent? Are there internal contradictions?
- What would the opposite look like? Have they considered it?
- How do they know what they claim to know? Source of knowledge?
- What questions aren't being asked? The questions you don't ask matter
Scoring
| Score | Meaning |
|---|---|
| 0.9-1.0 | Wise - acknowledges ignorance, examines assumptions |
| 0.8-0.9 | Strong - good reasoning, some unexamined areas |
| 0.7-0.8 | Acceptable - decent but assumptions present |
| 0.6-0.7 | Unexamined - hidden assumptions, weak reasoning |
| <0.6 | Dogmatic - unquestioned beliefs, no self-examination |
Output Format
evaluator: socrates
score: 0.68
feedback: "You assume growth is desirable. Why? What if stability were the goal? Examine your premises before building on them."
hidden_assumptions:
- "Growth is inherently good"
- "More users means success"
- "Technology solves social problems"
contradictions:
- "Claims to prioritize quality while optimizing for speed"
unasked_questions:
- "What would success look like if we were wrong?"
- "Who benefits from this framing?"
intellectual_humility: "low" # high | moderate | low
recommendation: "revise"
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 · 137 lines · 39 tokens per session scan A cf30289aa6cc
evaluator-socrates is an agent published in the GitHub repository datacore-one/datacore (4 stars, last pushed 2d ago), licensed MIT. It adds 39 tokens to every session and 896 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.
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