rustyspec-plan

A coding-agent tool that creates an architecture plan from a feature specification. It documents technical decisions, research, data relationships, interfaces, setup steps, and project-constitution checks.

In plain words
What is it for?
Use it to prepare architecture and technology decisions, define data models and API contracts, and document validation steps for a feature.
Why use it?
It connects product requirements to an implementation plan and fills in missing planning details before coding begins.

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/jyjeanne/rustyspec/rustyspec-plan
Clone the repo
git clone --depth 1 https://github.com/jyjeanne/rustyspec
Per session 7 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 171 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 $0.00007 $0.00171
Opus 5 $0.00003 $0.00086
Sonnet 5 $0.00001 $0.00034
Haiku 4.5 $0.00001 $0.00017

Measured 2d ago against content hash 5f9c5c30172b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rustyspec-plan 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 2d 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.

.github/agents/rustyspec-plan.agent.md · 21 lines

What it actually says

Read the project context from .rustyspec/AGENT.md.

Feature ID: $ARGUMENTS Find the matching directory under specs/ and read spec.md for requirements.

Fill in the planning documents with real content:

  1. plan.md — Architecture decisions, tech stack, project structure, constitution check
  2. research.md — Technology investigation findings
  3. data-model.md — Entity definitions and relationships
  4. contracts/api.md — API contracts if applicable
  5. quickstart.md — Key validation scenarios

Complete the Constitution Check in plan.md. Fill all [NEEDS CLARIFICATION] and [To be filled] sections with concrete content.

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. 2d ago First seen · 21 lines · 7 tokens per session scan A 5f9c5c30172b

Subscribe to this mod's changes

rustyspec-plan is an agent published in the GitHub repository jyjeanne/rustyspec (5 stars, last pushed 4mo ago), licensed MIT. It adds 7 tokens to every session and 171 once invoked, about $0.0000 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 2026-08-31.

Related

Other agents, from other repositories

task-plan-architect

Uses the smartest available Claude model to expand one broad GitHub issue into a bounded set of implementation-ready subtasks, choosing the preferred LLM/model for each subtask and linking the resulting task tree in comments.

MercurieVV/ScalaSemantic · 47 tokens

audit-agent

Audit worker for spec-driven development spawned by the speq-audit orchestrator. Verifies specs/mission.md against the real spec library and returns the inconsistencies. Read-only — authors nothing.

marconae/speq-skill · 42 tokens

cursor-rescue

Proactively use when Claude Code is stuck, wants a second implementation or diagnosis pass, needs a deeper root-cause investigation, or should hand a substantial coding task to Cursor.

zebbern/agent-collab · 38 tokens

project-manager

Project manager for CrawlForge MCP Server development. Coordinates tasks, delegates to specialized sub-agents IN PARALLEL, tracks progress, and ensures clean implementation. Use PROACTIVELY for any multi-step project coordination.

mysleekdesigns/crawlforge-mcp · 46 tokens

application-patterns-wave-06

Wave 06 adds practical workflows for agency operations, clinical drafting, privacy, content, data, infrastructure, education, commerce, finance, people, insurance, legal review, operations, product, research, and security. Every pattern below uses synthetic input and is a starting point for inspection, not evidence of…

AgentsKit-io/agentskit-registry · 0 tokens

mach12:code-explorer

Deeply analyzes existing codebase features by tracing execution paths, mapping architecture layers, understanding patterns and abstractions, and documenting dependencies to inform new development.

LeanAndMean/scramjet · 36 tokens