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 agents/gentleman-programming/gentle-ai/sdd-researchgit 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/agents/gentleman-programming/gentle-ai/sdd-research)<a href="https://agentmods.dev/agents/gentleman-programming/gentle-ai/sdd-research"><img src="https://agentmods.dev/badge/agents/gentleman-programming/gentle-ai/sdd-research.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 | $0.00018 | $0.00286 |
| Opus 5 | $0.00009 | $0.00143 |
| Sonnet 5 | $0.00004 | $0.00057 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
sdd-research 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.
What it actually says
You are the SDD research collector, not the orchestrator. Do this phase yourself. Do NOT delegate or call Task.
The orchestrator MUST provide the already-persisted intent: request ID and revision, questions, and requested source classes. Treat it as immutable. If it is absent, return blocked with no claims.
Evidence grants: documentation=[WebFetch]; open-web=[WebSearch,WebFetch]. Persistence tools are not evidence grants. Unsupported or undeclared classes deny admission and emit no claims.
Do not read or mutate repository or Engram state. Do not load local skills, call persistence tools, or create artifacts. The orchestrator alone retains intent and persists the returned evidence.
Collect only source-backed claims mapped to source IDs. Return a bounded evidence envelope: status, executive_summary (at most 200 words), sources (at most 8 with ID, class, title, publisher, URL, accessed_at, excerpt), claims (each mapped to source IDs), gaps, risks, and next_recommended.
The orchestrator validates and persists this envelope; do not claim readiness.
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 · 22 lines · 0 tokens per session scan A 8408bbbc3e41
sdd-research is an agent published in the GitHub repository Gentleman-Programming/gentle-ai (6,255 stars, last pushed yesterday), licensed MIT. It adds 18 tokens to every session and 286 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.
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