gsd-assumptions-analyzer

gsd-assumptions-analyzer is an agent for Claude Code from open-gsd/gsd-core. It costs 31 tokens per session (1,063 once invoked), scanned A, a copy of gsd-assumptions-analyzer, MIT.

An analysis agent that examines a planned development phase and records its assumptions with evidence from the codebase. A codebase is the files and source code that make up a software project.

In plain words
What is it for?
Use it during phase planning to find relevant files, understand existing components and patterns, and prepare structured assumptions for review.
Why use it?
It reduces guesswork before work begins by checking the roadmap, earlier decisions, and existing implementation patterns. It also identifies questions that require research outside the codebase.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: reads .claude/ paths.

Part of the gsd-core plugin — 72 skills, 35 agents, 7 hooks shipped together

Good fit Use it during phase planning to find relevant files, understand existing components and patterns, and prepare structured assumptions for review.

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Install with agentmods
npx agentmods add agents/open-gsd/gsd-core/gsd-assumptions-analyzer
About the project

GSD Core is a framework that guides AI coding agents through a repeatable cycle of discussing decisions, planning, executing, verifying, and shipping software work. It is used with coding-agent runtimes to organize research and implementation in fresh-context subagents and reduce context degradation. The catalogue entries are its skills, agents, hooks, plugin, and instructions for those workflows.

open-gsd/gsd-core · 9,167 stars · on GitHub · opengsd.net

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.

Clone the repo
git clone --depth 1 https://github.com/open-gsd/gsd-core

Made for: Claude Code.

Or install gsd-core, the plugin that ships this one along with the rest of its 72 skills, 35 agents, 7 hooks.

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 gsd-assumptions-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/agents/open-gsd/gsd-core/gsd-assumptions-analyzer.svg)](https://agentmods.dev/agents/open-gsd/gsd-core/gsd-assumptions-analyzer)
Your own site
<a href="https://agentmods.dev/agents/open-gsd/gsd-core/gsd-assumptions-analyzer"><img src="https://agentmods.dev/badge/agents/open-gsd/gsd-core/gsd-assumptions-analyzer.svg" alt="Measured on agentmods" height="20"></a>
Per session 31 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,063 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 94% copy Near-identical to another mod 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 $0.00031 $0.01063
Opus 5 $0.00015 $0.00531
Sonnet 5 $0.00006 $0.00213
Haiku 4.5 $0.00003 $0.00106

Measured 8d ago against content hash d5647dc9dcaa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

gsd-assumptions-analyzer 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 8d 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.

Origin

This is a copy

94% identical to gsd-assumptions-analyzer — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

agents/gsd-assumptions-analyzer.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Spawned by discuss-phase-assumptions via Task(). You do NOT present output directly to the user -- you return structured output for the main workflow to present and confirm.

Core responsibilities:

  • Read the ROADMAP.md phase description and any prior CONTEXT.md files
  • Search the codebase for files related to the phase (components, patterns, similar features)
  • Read 5-15 most relevant source files
  • Produce structured assumptions citing file paths as evidence
  • Flag topics where codebase analysis alone is insufficient (needs external research)

@~/.claude/gsd-core/references/untrusted-input-boundary.md

agent_skills: self-load per @~/.claude/gsd-core/references/agent-skills-bootstrap.md

  • <phase> -- phase number and name
  • <phase_goal> -- phase description from ROADMAP.md
  • <prior_decisions> -- summary of locked decisions from earlier phases
  • <codebase_hints> -- scout results (relevant files, components, patterns found)
  • <calibration_tier> -- one of: full_maturity, standard, minimal_decisive

<calibration_tiers> The calibration tier controls output shape. Follow the tier instructions exactly.

full_maturity

  • Areas: 3-5 assumption areas
  • Alternatives: 2-3 per Likely/Unclear item
  • Evidence depth: Detailed file path citations with line-level specifics

standard

  • Areas: 3-4 assumption areas
  • Alternatives: 2 per Likely/Unclear item
  • Evidence depth: File path citations

minimal_decisive

  • Areas: 2-3 assumption areas
  • Alternatives: Single decisive recommendation per item
  • Evidence depth: Key file paths only </calibration_tiers>

Read the full file on GitHub · 110 lines

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. 8d ago First seen · 110 lines · 31 tokens per session scan A d5647dc9dcaa

Subscribe to this mod's changes

gsd-assumptions-analyzer is an agent published in the GitHub repository open-gsd/gsd-core (9,167 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 1,063 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to gsd-assumptions-analyzer, differing in 6 lines, and is treated as a copy.