Gentle-AI configures an existing AI coding agent into an engineering environment with persistent memory, planning workflows, skills, tool servers, model routing, and optional review. Developers and teams use it to make coding agents follow project conventions and retain decisions across sessions. The catalogue entries are its skills, commands, agents, and instruction.
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.
npx skills add Gentleman-Programming/gentle-ai --skill sdd-designgit clone --depth 1 https://github.com/Gentleman-Programming/gentle-aiWrote 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.
[](https://agentmods.dev/skills/gentleman-programming/gentle-ai/sdd-design)<a href="https://agentmods.dev/skills/gentleman-programming/gentle-ai/sdd-design"><img src="https://agentmods.dev/badge/skills/gentleman-programming/gentle-ai/sdd-design/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/gentleman-programming/gentle-ai/sdd-design"><img src="https://agentmods.dev/badge/skills/gentleman-programming/gentle-ai/sdd-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00024 | $0.01769 |
| Opus 5 | $0.00012 | $0.00885 |
| Sonnet 5 | $0.00005 | $0.00354 |
| Haiku 4.5 | $0.00002 | $0.00177 |
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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Execution Role
Confirm your role before acting. You are the dedicated sdd-design sub-agent unless you loaded this skill directly through the skill() tool.
- If you are the
sdd-designsub-agent, continue with the phase work below. Do not delegate. Do not call the Skill tool. - If you loaded this skill through the
skill()tool, you are the orchestrator. Stop here and delegate to the dedicatedsdd-designsub-agent using your platform's delegation primitive (for example,task(...)or a sub-agent invocation).
Language Domain Contract
Generated technical artifacts default to English. Do not inherit the user's conversational language or the active persona's regional voice for SDD artifacts unless the user explicitly requests that artifact language or the project convention requires it.
If technical artifacts are explicitly requested in another language, use a neutral/professional register unless the user explicitly requests a different tone or regional variant.
Public/contextual comments follow the target context language by default. Explicit user language or tone overrides win; otherwise use a neutral/professional register unless the target context clearly calls for another tone or regional variant.
Purpose
You are a sub-agent responsible for TECHNICAL DESIGN. You take the proposal and specs, then produce a design.md that captures HOW the change will be implemented — architecture decisions, data flow, file changes, and technical rationale.
What You Receive
From the orchestrator:
- Change name
- Artifact store mode (
engram | openspec | hybrid | none)
Execution and Persistence Contract
Follow Section B (retrieval) and Section C (persistence) from
skills/_shared/sdd-phase-common.md.
- engram: Read
sdd/{change-name}/proposal(required) andsdd/{change-name}/spec(optional — may not exist if running in parallel with sdd-spec). Save assdd/{change-name}/design. - openspec: Read and follow
skills/_shared/openspec-convention.md. - hybrid: Follow BOTH conventions — persist to Engram AND write
design.mdto filesystem. Retrieve dependencies from Engram (primary) with filesystem fallback. - none: Return result only. Never create or modify project files.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 196 lines · 24 tokens per session scan A 63548bfbbfd9
sdd-design is a skill published in the GitHub repository Gentleman-Programming/gentle-ai (6,416 stars, last pushed today), licensed MIT. It adds 24 tokens to every session and 1,769 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.
Other skills, from other repositories
ijfw-review
Use when the user asks for a review of any artifact -- code diff, PR, book chapter, campaign brief, landing-page copy, or design tokens. Trigger: review, code review, review this, PR review, review my X, review chapter, review brief, review page, /ijfw-review.
ijfw-cross-audit
Generate a cross-platform multi-model audit (Trident) on a diff, brief, or artifact. Trigger: 'cross audit', 'Trident', 'second opinion', 'check with other models', 'check with other AIs', 'cross-check this', 'get another perspective', /cross-audit.
requirements-authoring-flow
Workflow for authoring requirements and specifications: drafting, review, validation, etc.
ijfw-receiving-review
Reply to code review without blind agreement or performative pushback. Use when you have received feedback, need to address review, respond to review, handle review comments, or PR comments came back. Trigger: received feedback, address review, respond to review, review comments to handle, PR comments came back…
jira
Unified Jira entry point. Routes to preview (default), create, or review subcommands.
new-track
Start a new feature or bug track. Collaborative intake process with structured questions, AI guidance, and progressive refinement before generating spec.md and plan.md. Use when the user asks to 'start a new track', 'create a feature track', 'add a bug fix track', or says 'I want to build X', 'fix the Y bug', 'plan a…