hypothetical-walkthrough

hypothetical-walkthrough is a skill for Claude Code from Jamie-BitFlight/claude_skills. It costs 37 tokens per session (681 once invoked), scanned A, original, MIT.

A step-by-step simulation of a system or process using a chosen user story or scenario. It follows each actor, component, and state change to show how the expected flow behaves.

In plain words
What is it for?
Use it to trace a workflow from start to finish and compare intended behavior with observed evidence. It is useful for examining branches, handoffs, transitions, and failure points.
Why use it?
It helps reveal friction, missing links, and contradictions before they become real failures. It also keeps track of where each value comes from and where it becomes unusable.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the dh plugin — 70 skills, 29 agents shipped together

Good fit Use it to trace a workflow from start to finish and compare intended behavior with observed evidence. It is useful for examining branches, handoffs, transitions, and failure points.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jamie-bitflight/claude_skills/hypothetical-walkthrough
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 Jamie-BitFlight/claude_skills --skill hypothetical-walkthrough
Clone the repo
git clone --depth 1 https://github.com/Jamie-BitFlight/claude_skills

Made for: Claude Code.

Or install dh, the plugin that ships this one along with the rest of its 70 skills, 29 agents.

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 hypothetical-walkthrough

README.md
[![agentmods](https://agentmods.dev/badge/skills/jamie-bitflight/claude_skills/hypothetical-walkthrough/github.svg)](https://agentmods.dev/skills/jamie-bitflight/claude_skills/hypothetical-walkthrough)
Your own site
<a href="https://agentmods.dev/skills/jamie-bitflight/claude_skills/hypothetical-walkthrough"><img src="https://agentmods.dev/badge/skills/jamie-bitflight/claude_skills/hypothetical-walkthrough/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 hypothetical-walkthrough

Your own site · 80×15
<a href="https://agentmods.dev/skills/jamie-bitflight/claude_skills/hypothetical-walkthrough"><img src="https://agentmods.dev/badge/skills/jamie-bitflight/claude_skills/hypothetical-walkthrough.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 681 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 original 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 $0.00037 $0.00681
Opus 5.5 $0.00015 $0.00272
Sonnet 5.5 $0.00007 $0.00136
Haiku 4.5 $0.00004 $0.00068

Measured 16d ago against content hash e1ceffd7abf1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hypothetical-walkthrough 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 16d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (evals/fixtures/transition-contracts/consumer_compatible.py, evals/fixtures/transition-contracts/consumer.py, evals/fixtures/transition-contracts/publisher.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/development-harness/skills/hypothetical-walkthrough/SKILL.md · 17 lines

What it actually says

Hypothetical Walkthrough

Use the requested effort, defaulting to medium: Low gives a concise, focused end-to-end scenario; Medium uses representative end-to-end scenarios to reveal interactions and transitions; High simulates agent-generated user stories step by step across every relevant change and reaction. When no scenario or user story is supplied, state the contextual interpretation and ask whether to proceed; when no interpretation is supportable, ask which scenario or user story to simulate. When the target under test is absent or unclear, ask which system or process to trace. Begin the walkthrough only after both the scenario or user story and target under test are clear. Trace the configured system in ordered, step-by-step form from entry to completion, following how its parts, actors, and state interact. Let the goals and evidence direct attention rather than a fixed checklist. For each applicable step, keep a branch-local binding ledger: the literal instruction and source; consumed field, value, and type with its supplier; declared guard or none; assignments, overwrites, and output variants; and the next consumer or first incompatibility. Keep producer branches distinct until the source stops or rejoins them. Treat unanswered interactive prompts as typed unknowns until a declared answer or default; an entry contract can be the first blocked handoff, and later operations are separately counterfactual. Simulate actors following every applicable target instruction exactly. For every applicable step, inspect the material referenced skill, agent, script, API, or CLI contract. For every declared call, show its exact invocation (path or operation; each argument's name, type, symbolic value, and provenance) and the contract's applicable success, fallback, and error output variants. Build every downstream input from the producer's exact returned field and declared branch mapping; retain an opaque returned selector symbolically instead of assuming its identifier format. Apply explicit branch exceptions before generic templates, and trace declared adapters and caller handling before concluding a handoff fails or the workflow stops. Carry every unresolved prerequisite, branch guard, and blocker to its dependent downstream steps: a continuation after a blocked or unobserved step is counterfactual, names its enabling condition, and is never presented as unconditional. Treat the instructed path, name, operation, arguments, and mutation permission as part of the contract: follow only declared recovery, and report an unavailable instructed step as blocked while using alternatives only as diagnostic evidence or a proposed repair. Inspect source and caller-provided runtime evidence read-only; do not perform simulated calls or file mutations. Do not skip, invent, or silently repair a contract step: retain known error branches and mark unresolved prerequisites or ambiguous inputs conditional. Contrast the expected flow with repository and runtime evidence. Mark facts, inferences, and unknowns; do not invent missing scenario facts or branch conditions, and keep unknown-dependent steps conditional. This is a simulation, not an observed end-to-end demonstration. Report process, system, or transactional frictions, tensions, contradictions, and outcomes unexpected from the stated goals. Give each finding's evidence, impact, and a concrete validation check. End every report by offering to address, backlog, or discuss/split the findings.

Files

What ships with it

5 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. 16d ago First seen · 17 lines · 37 tokens per session scan A e1ceffd7abf1

Subscribe to this mod's changes

hypothetical-walkthrough is a skill published in the GitHub repository Jamie-BitFlight/claude_skills (67 stars, last pushed 4d ago), licensed MIT. It adds 37 tokens to every session and 681 once invoked, about $0.0001 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 2026-10-08.

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