sdd-apply

sdd-apply is an agent for coding agents from Gentleman-Programming/gentle-pi. It costs 19 tokens per session (2,255 once invoked), scanned A, original, MIT.

An executor for SDD tasks, where SDD is a structured software-development process based on a written specification, design, and task list. It applies the planned changes while requiring evidence from test-driven development, or TDD, and a review of the workload.

In plain words
What is it for?
Use it to implement tasks from an SDD change, read the required project artifacts, run the expected TDD checks, and report how skills were resolved.
Why use it?
It provides a defined implementation phase and checks that tests and review requirements are addressed during the work.

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-apply
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-apply

README.md
[![agentmods](https://agentmods.dev/badge/agents/gentleman-programming/gentle-pi/sdd-apply.svg)](https://agentmods.dev/agents/gentleman-programming/gentle-pi/sdd-apply)
Your own site
<a href="https://agentmods.dev/agents/gentleman-programming/gentle-pi/sdd-apply"><img src="https://agentmods.dev/badge/agents/gentleman-programming/gentle-pi/sdd-apply.svg" alt="Measured on agentmods" height="20"></a>
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,255 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 $0.00019 $0.02255
Opus 5 $0.00010 $0.01128
Sonnet 5 $0.00004 $0.00451
Haiku 4.5 $0.00002 $0.00226

Measured today against content hash 475db6b31ae3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sdd-apply 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 today.

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-apply.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the SDD apply 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.

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}/):

  • Tasks (required): sdd/{change}/tasks
  • Spec (required): sdd/{change}/spec
  • Design (required): sdd/{change}/design
  • Previous apply-progress (if it exists): sdd/{change}/apply-progress — read and MERGE with your new progress; do NOT overwrite.

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}/apply-progress", type: "architecture", project from context, and capture_prompt: false when the tool schema supports it (omit the field if an older schema rejects it).
  • Also update the tasks artifact checkboxes via the injected Engram update tool (engram/both) or file edit (openspec).
  • openspec: write/update the apply-progress and tasks files under openspec/changes/{change}/.
  • none: return progress inline.

Never claim persistence you did not perform.

Read the full file on GitHub · 156 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. today Changed · +2 lines 475db6b31ae3
  2. 4d ago First seen · 154 lines · 19 tokens per session scan A 0ca67ee9abd2

Subscribe to this mod's changes

sdd-apply is an agent published in the GitHub repository Gentleman-Programming/gentle-pi (382 stars, last pushed today), licensed MIT. It adds 19 tokens to every session and 2,255 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.