hypothesis-driven

hypothesis-driven is a skill for Claude Code, Codex from AeonDave/malskill. It costs 42 tokens per session (2,057 once invoked), scanned A, original, no licence file.

A method for investigating difficult problems when the cause or solution is not known. It uses explicit hypotheses that can be tested and disproved.

In plain words
What is it for?
It is for hard bugs, unreliable systems, security challenges, reverse-engineering puzzles, incident triage, multi-system failures, and data-backed research questions.
Why use it?
It helps prevent random debugging and keeps complex investigations tied to evidence.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It is for hard bugs, unreliable systems, security challenges, reverse-engineering puzzles, incident triage, multi-system failures, and data-backed research questions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aeondave/malskill/hypothesis-driven
Install

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.

Any agent
npx skills add AeonDave/malskill --skill hypothesis-driven
Clone the repo
git clone --depth 1 https://github.com/AeonDave/malskill

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for hypothesis-driven

README.md
[![agentmods](https://agentmods.dev/badge/skills/aeondave/malskill/hypothesis-driven/github.svg)](https://agentmods.dev/skills/aeondave/malskill/hypothesis-driven)
Your own site
<a href="https://agentmods.dev/skills/aeondave/malskill/hypothesis-driven"><img src="https://agentmods.dev/badge/skills/aeondave/malskill/hypothesis-driven/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.

agentmods 80×15 button for hypothesis-driven

Your own site · 80×15
<a href="https://agentmods.dev/skills/aeondave/malskill/hypothesis-driven"><img src="https://agentmods.dev/badge/skills/aeondave/malskill/hypothesis-driven.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,057 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.02057
Opus 5.5 $0.00017 $0.00823
Sonnet 5.5 $0.00008 $0.00411
Haiku 4.5 $0.00004 $0.00206

Measured 26d ago against content hash e7ae84ce2747, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hypothesis-driven 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 26d 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.

behaviours/hypothesis-driven/SKILL.md · 139 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

2 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.

Changes

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.

  1. 26d ago Changed · -70 tokens per session e7ae84ce2747
  2. 1mo ago First seen · 139 lines · 112 tokens per session scan A 5b29b40137e3

Subscribe to this mod's changes

hypothesis-driven is a skill published in the GitHub repository AeonDave/malskill (22 stars, last pushed 3d ago), with no licence file. It adds 42 tokens to every session and 2,057 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.

Related

Other skills, from other repositories

gke-node-notready

Diagnoses GKE nodes reporting NotReady or Unknown status by inspecting node conditions, events, kubelet/containerd logs, and node metrics, then proposing safe remediations. Use when nodes show NotReady, when the kubelet stops posting node status, or when workloads are evicted or stuck Pending due to node health. Don't…

google/skills · 112 tokens

systematic-debugging

A step-by-step method for finding the underlying cause of technical problems before changing code. It covers reading errors, reproducing failures, checking recent changes, and tracing data across system components.

jnMetaCode/superpowers-zh · 24 tokens

factory-lookback

Experimental workflow for auditing recurring feedback, telemetry, errors, and brittle delivery paths to find systemic fixes. Use for periodic or requested cross-source lookbacks, not routine single-item intake.

BuilderIO/skills · 40 tokens

chrome-devtools-mcp

Use Chrome DevTools MCP from .NET agents and .NET-focused repos to inspect, debug, and automate Chrome through an MCP client. USE FOR: the repo needs browser-level debugging for ASP.NET Core, Blazor, WebAssembly, or any .NET app with a web UI; the user wants an MCP server that can inspect console. DO NOT USE FOR: pure…

managedcode/dotnet-skills · 130 tokens

agent-design-review

Review an LLM agent design and find where it will be unreliable, expensive, or unsafe. Use when asked to review an agent architecture, critique a multi-step/tool-using agent, debug an agent that loops or goes off-task, or harden an agent before launch. Produces a structured review — task fit, control flow, tools…

mohitagw15856/pm-claude-skills · 91 tokens

cwv-optimizer

Diagnose and fix Core Web Vitals issues on AEM Edge Delivery Services pages. Goes deeper than generic CWV advice by understanding EDS-specific performance patterns including the 100KB LCP budget, E-L-D loading phases, block rendering behavior, and third-party script impact. Produces specific fixes for LCP, CLS, and…

adobe/skills · 112 tokens