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 skills add Dr-AneeshJoseph/Prism --skill claudegit clone --depth 1 https://github.com/Dr-AneeshJoseph/PrismWrote 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/skills/dr-aneeshjoseph/prism/claude)<a href="https://agentmods.dev/skills/dr-aneeshjoseph/prism/claude"><img src="https://agentmods.dev/badge/skills/dr-aneeshjoseph/prism/claude/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/skills/dr-aneeshjoseph/prism/claude"><img src="https://agentmods.dev/badge/skills/dr-aneeshjoseph/prism/claude.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 | $0.00000 | $0.02679 |
| Opus 5.5 | $0.00000 | $0.01072 |
| Sonnet 5.5 | $0.00000 | $0.00536 |
| Haiku 4.5 | $0.00000 | $0.00268 |
Grade A, and why
Claude 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 — 386 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PRISM v2.2 - Protocol for Rigorous Investigation of Scientific Mechanisms
Author: Dr. Aneesh Joseph
Implementation: Claude (Anthropic)
Version: 2.2 | December 2025
When to Use This Skill
Use PRISM when the user asks to:
- Evaluate scientific hypotheses quantitatively
- Compare multiple hypotheses using Bayesian methods
- Perform rigorous evidence synthesis with meta-analysis
- Calculate posterior probabilities from heterogeneous evidence
- Research and prioritize scientific questions
- Assess treatment options, drug efficacy, or technology predictions
Trigger phrases:
- "Find the best hypothesis for..."
- "Compare these hypotheses..."
- "What's the probability that..."
- "Analyze the evidence for..."
- "Which treatment is most likely to work..."
Core Philosophy
Traditional hypothesis testing asks: "Is this result statistically significant?"
PRISM asks: "Given all available evidence, what is the probability this hypothesis is true?"
This shift from binary significance to continuous credence enables:
- Comparison across different evidence types
- Principled evidence accumulation
- Explicit uncertainty quantification
- Optimizer's curse correction for multiple comparisons
Mathematical Framework
Bayesian Foundation
PRISM uses Bayes' theorem with log-odds for numerical stability:
log-odds(H|E) = log-odds(H) + log(LR)
Reference Class Priors
Instead of arbitrary priors, PRISM uses empirical base rates with Beta distributions:
phase2_clinical: 15.3% [9.0%, 23.0%] (based on FDA 2000-2020)phase3_clinical: 35.1% [26.2%, 44.7%]replication: 40.1% [30.8%, 49.8%] (based on OSF 2015)general: 50.0% (uninformative)
Hierarchical Correlation Correction
Critical: Naive multiplication of likelihood ratios causes exponential overconfidence.
PRISM uses hierarchical correlation:
- Within-cluster ρ = 0.6 (same lab/method)
- Between-cluster ρ = 0.2 (independent labs)
Effective N = Σ(cluster_size / DEFF_within) / √DEFF_between
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 386 lines · 0 tokens per session scan A 513ba7df3af2
Claude is a skill published in the GitHub repository Dr-AneeshJoseph/Prism (7 stars, last pushed 10mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,679 tokens. 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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