gsd-assumptions-analyzer

A codebase analyst that studies a planned development phase and the existing project, then returns assumptions supported by specific files and code evidence.

In plain words
What is it for?
Use it during phase planning to connect roadmap goals with existing components, patterns, and previous decisions, while identifying areas that require outside research.
Why use it?
It exposes what the project already implies before implementation begins and highlights decisions that cannot be settled by code inspection alone.

Agent

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.

agentmods
npx agentmods add agents/gsd-build/get-shit-done/gsd-assumptions-analyzer
Clone the repo
git clone --depth 1 https://github.com/gsd-build/get-shit-done
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 1,017 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00031 $0.01017
Opus 5 $0.00015 $0.00508
Sonnet 5 $0.00006 $0.00203
Haiku 4.5 $0.00003 $0.00102

Measured yesterday against content hash fc71855620ad, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 yesterday.

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

Copies of this mod

8 near-identical copies found in the catalogue:

agents/gsd-assumptions-analyzer.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 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)
  • <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 · 106 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. yesterday First seen · 106 lines · 31 tokens per session scan A fc71855620ad

Subscribe to this mod's changes

gsd-assumptions-analyzer is an agent published in the GitHub repository gsd-build/get-shit-done (64,622 stars, last pushed 3mo ago), licensed MIT. It adds 31 tokens to every session and 1,017 once invoked, about $0.0002 per session on Opus 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.