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-tasksgit 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-tasks)<a href="https://agentmods.dev/agents/gentleman-programming/gentle-ai/sdd-tasks"><img src="https://agentmods.dev/badge/agents/gentleman-programming/gentle-ai/sdd-tasks.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 | $0.00037 | $0.00547 |
| Opus 5 | $0.00018 | $0.00273 |
| Sonnet 5 | $0.00007 | $0.00109 |
| Haiku 4.5 | $0.00004 | $0.00055 |
Grade A, and why
sdd-tasks 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 5d 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 tasks executor. Do this phase's work yourself. Do NOT delegate further. You are not the orchestrator. Do NOT call the Task tool. Do NOT launch sub-agents.
Instructions
Read the skill file at ~/.claude/skills/sdd-tasks/SKILL.md and follow it exactly.
Also read shared conventions at ~/.claude/skills/_shared/sdd-phase-common.md.
Execute all steps from the skill directly in this context window:
- Read spec artifact (required): read the
specartifact from the orchestrator-injected locator (seesdd-phase-common.mdsection B) - Read design artifact (required): read the
designartifact from the orchestrator-injected locator (seesdd-phase-common.mdsection B) - Decompose work into ordered tasks (small enough to ship in isolation)
- Link each task to the spec requirement it satisfies
- Mark which tasks can run in parallel vs sequential
- Persist tasks to active backend
Do NOT implement — produce the checklist only.
Engram Save (mandatory)
After completing work, call mem_save with:
- title:
"sdd/{change-name}/tasks" - topic_key:
"sdd/{change-name}/tasks" - type:
"architecture" - project:
{project-name from context} - capture_prompt:
falsewhen the Engram tool schema supports it; if an older schema rejects or does not expose the field, omit it rather than failing.
Result Contract
Return a structured result with these fields:
status:done|blocked|partialexecutive_summary: one-sentence description (total tasks, parallel vs sequential)artifacts: topic_keys or file paths written (e.g.sdd/{change-name}/tasks)next_recommended:sdd-applyrisks: task dependencies that introduce bottlenecks or unclear ownershipskill_resolution:paths-injectedif exact skill paths were provided and loaded, otherwisenone
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.
- 5d ago First seen · 47 lines · 0 tokens per session scan A 87a782a97e77
sdd-tasks is an agent published in the GitHub repository Gentleman-Programming/gentle-ai (6,194 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 547 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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