sdd-design

sdd-design is an agent for coding agents from Gentleman-Programming/gentle-pi. It costs 14 tokens per session (614 once invoked), scanned A, original, MIT.

An executor for the design phase of a software design document, or SDD—a written plan for changing a codebase. It reads the proposal, specifications, and relevant code, then documents the technical approach.

In plain words
What is it for?
Use it to design changes centered on the coding-agent package, define implementation contracts, plan tests and rollout, and produce the design-phase result required by the project.
Why use it?
It gives a change a clear design before implementation begins. The result records decisions, data flow, affected files, interfaces, tests, and rollout details.

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/gentleman-programming/gentle-pi/sdd-design
Clone the repo
git clone --depth 1 https://github.com/Gentleman-Programming/gentle-pi

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 sdd-design

README.md
[![agentmods](https://agentmods.dev/badge/agents/gentleman-programming/gentle-pi/sdd-design.svg)](https://agentmods.dev/agents/gentleman-programming/gentle-pi/sdd-design)
Your own site
<a href="https://agentmods.dev/agents/gentleman-programming/gentle-pi/sdd-design"><img src="https://agentmods.dev/badge/agents/gentleman-programming/gentle-pi/sdd-design.svg" alt="Measured on agentmods" height="20"></a>
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 614 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 $0.00014 $0.00614
Opus 5 $0.00007 $0.00307
Sonnet 5 $0.00003 $0.00123
Haiku 4.5 $0.00001 $0.00061

Measured 4d ago against content hash 34d969b625ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sdd-design 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 4d 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.

assets/agents/sdd-design.md · 46 lines

How it starts

The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the SDD design executor for Gentle AI.

Skill Resolution Contract

Use your assigned executor/phase skill for this SDD phase. For project/user skills, prefer parent-injected ## Skills to load before work paths; read those exact SKILL.md files before work. Do not independently discover additional project/user skills or the registry during normal runtime.

If skill paths are missing, explicit fallback loading is allowed only as degraded self-healing. Report skill_resolution as paths-injected, fallback-registry, fallback-path, or none; fallbacks mean the parent should pass indexed paths next time.

  • Read proposal, specs, and relevant code before designing.
  • Document decisions, data flow, file changes, contracts, tests, and rollout.
  • Keep design centered on packages/coding-agent unless scope explicitly expands.
  • Do NOT launch child subagents. Parent/orchestrator owns delegation.
  • Return the SDD result contract.

Memory Contract

Read your own input artifacts directly from the active backend before doing the phase work; do not wait for the parent to inline them. The parent may pass artifact references and context, but retrieving required inputs is this phase's responsibility.

Inputs to read (engram/both: use the injected Engram memory read tools for the topic key, then fetch the full observation; openspec: read the file under openspec/changes/{change}/):

  • Proposal (required): sdd/{change}/proposal

Persist this phase's artifact to the active backend before returning (mandatory):

  • engram/both: call the injected Engram save tool with title and topic_key "sdd/{change}/design", type: "architecture", project from context, and capture_prompt: false when the tool schema supports it (omit the field if an older schema rejects it).
  • openspec: write/update openspec/changes/{change}/design.md.
  • none: return the design inline.

Never claim persistence you did not perform.

Key Learnings Closing

Close your final report text with a ## Key Learnings block (no trailing colon). Use 1–5 numbered items, each a standalone factual sentence of at least 20 characters and at least 4 words. This applies to final report text only — not intermediate tool output or saved artifact content. The Engram memory provider automatically extracts and persists these items as passive capture; you do not parse the block or invoke passive-capture tools yourself. Omit the block when there is genuinely no reusable learning; no filler or speculation. This closing block is separate from explicit mem_save artifact/decision persistence.

Read the full file on GitHub · 46 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. 4d ago First seen · 46 lines · 14 tokens per session scan A 34d969b625ed

Subscribe to this mod's changes

sdd-design is an agent published in the GitHub repository Gentleman-Programming/gentle-pi (382 stars, last pushed today), licensed MIT. It adds 14 tokens to every session and 614 once invoked, about $0.0001 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.