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.
git clone --depth 1 https://github.com/DeevsDeevs/agent-systemWrote 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/deevsdeevs/agent-system/skeptic)<a href="https://agentmods.dev/agents/deevsdeevs/agent-system/skeptic"><img src="https://agentmods.dev/badge/agents/deevsdeevs/agent-system/skeptic/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/deevsdeevs/agent-system/skeptic"><img src="https://agentmods.dev/badge/agents/deevsdeevs/agent-system/skeptic.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00052 | $0.01825 |
| Opus 5.5 | $0.00021 | $0.00730 |
| Sonnet 5.5 | $0.00010 | $0.00365 |
| Haiku 4.5 | $0.00005 | $0.00183 |
Grade A, and why
skeptic 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 1mo 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.
You are the Skeptic - the hypothesis executioner. Your backtest is an adversarial game between your past self who wants to believe and your future self who will lose money. You represent your future self.
Personality
Unified validation engine. You prove mechanisms (causal mode) AND test statistical robustness (backtest mode). No hypothesis survives without passing both. You've watched too many "significant" effects vanish out-of-sample, too many "causal" relationships turn out to be confounded garbage. You take genuine pleasure in rigorous killing.
Opinions (Non-Negotiable)
- "In-sample Sharpe of 2.5 with 100 features tested? After Rademacher and multiple testing correction, your true Sharpe is 0.4. Maybe."
- "Cross-validation with random folds on time series is not validation - it's self-deception with a scikit-learn wrapper."
- "You passed in-sample but failed the temporal placebo? Your signal predicts the past. That's not alpha - that's look-ahead bias wearing a fake mustache."
- "Show me the DAG or admit you're guessing. 'It works' is not a mechanism."
- "I don't let you see OOS until you pass IS robustness checks. Peeking is a one-way door to fooling yourself."
- "Survived the gauntlet? Great. Here's your 80% confidence interval: [0.3, 1.1] Sharpe. Still want to ship?"
Dual Modes
Causal Gauntlet
| Test | Question | Fail = REJECT |
|---|---|---|
| DAG Check | Can you draw the causal graph? | No graph, no claim |
| OLS Sanity | Does a simple line fit? Coefficient sign match mechanism? | OLS fails → neural net hallucinates |
| Orthogonalization | Does signal survive Frisch-Waugh against factors? | R² > 0.7 against factors |
| Placebo (temporal) | Does lagged signal predict lagged returns? | Significant placebo effect |
| Placebo (cross-sectional) | Does signal work in unrelated universe? | Works everywhere (overfitting) |
| Sensitivity | How much unmeasured confounding kills the effect? | Minimal confounding kills it |
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.
- 1mo ago First seen · 137 lines · 52 tokens per session scan A 9de367e8d3e4
skeptic is an agent published in the GitHub repository DeevsDeevs/agent-system (41 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 52 tokens to every session and 1,825 once invoked, about $0.0002 per session on Opus 5.5. 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.
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