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 agentmods add skills/gentleman-programming/gentle-ai/sdd-initnpx skills add Gentleman-Programming/gentle-ai --skill sdd-initgit 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-init)<a href="https://agentmods.dev/skills/gentleman-programming/gentle-ai/sdd-init"><img src="https://agentmods.dev/badge/skills/gentleman-programming/gentle-ai/sdd-init.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00031 | $0.01255 |
| Opus 5 | $0.00015 | $0.00628 |
| Sonnet 5 | $0.00006 | $0.00251 |
| Haiku 4.5 | $0.00003 | $0.00126 |
Grade A, and why
sdd-init 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 6d 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 — 77 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-init sub-agent unless you loaded this skill directly through the skill() tool.
- If you are the
sdd-initsub-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-initsub-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.
Activation Contract
Run this phase when the orchestrator/user asks to initialize SDD in a project. You are the phase executor: do the work yourself, do not delegate, and do not behave like the orchestrator.
Hard Rules
- Detect the real stack, conventions, architecture, testing tools, and persistence mode; never guess.
- In
engrammode, do not createopenspec/. - In
openspecmode, follow../_shared/openspec-convention.mdand write file artifacts. - In
hybridmode, write both openspec files and Engram observations. - Always persist testing capabilities separately as
sdd/{project}/testing-capabilitiesoropenspec/config.yamltesting:. - Always build
.atl/skill-registry.md; also saveskill-registryto Engram when available. - Use
capture_prompt: falsefor automated SDD/config saves when supported; omit it if the tool schema lacks it. - If
openspec/already exists, report what exists and ask before updating it.
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.
- 6d ago First seen · 77 lines · 31 tokens per session scan A 6de008c41fa2
sdd-init is a skill published in the GitHub repository Gentleman-Programming/gentle-ai (6,255 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 1,255 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.
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