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 rdd-advisory-transportgit 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/rdd-advisory-transport)<a href="https://agentmods.dev/skills/gentleman-programming/gentle-ai/rdd-advisory-transport"><img src="https://agentmods.dev/badge/skills/gentleman-programming/gentle-ai/rdd-advisory-transport/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/rdd-advisory-transport"><img src="https://agentmods.dev/badge/skills/gentleman-programming/gentle-ai/rdd-advisory-transport.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 | $0.00046 | $0.00878 |
| Opus 5 | $0.00023 | $0.00439 |
| Sonnet 5 | $0.00009 | $0.00176 |
| Haiku 4.5 | $0.00005 | $0.00088 |
Grade A, and why
rdd-advisory-transport 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 7d 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Activation Contract
Load when changing how any runtime (Claude Code, OpenCode, Codex, future) invokes an RDD reviewer, refuter, or fix validator, or when touching reviewer prompts, lens evidence, result schemas, adapters, or transport capability policy.
Hard Rules
- One Go provider contract owns binding, frozen evidence, lens mandate, prompt, result schema, byte budget, JSON extraction, and admission. Start from existing native sources (
reviewLensContextBlock,ReviewerResultSchema,RunReviewCaptureResult,CaptureAdmittedReviewerResult); never build a parallel system. - Adapters only invoke the reviewer and return raw bytes plus a transport error. An adapter must never parse bindings, rebuild prompts, copy schemas, apply local budgets, parse JSON, capture or preserve results, hold retry state, or decide blocking.
- Runtime output is advisory: it cannot create authority, mutate review state, mint a receipt, or open a gate. Only Go admission does.
- Byte budget refuses before invocation; never truncate. Malformed, truncated, or incomplete input never becomes PASS, complete, or a clean receipt.
- No OpenCode restart, child isolation, special session, or
OPENCODE_DISABLE_*variables. An ordinary running session is sufficient. - The RDD semantic pipeline is untouchable: lens selection, severity meanings, candidate causality, refuter adjudication, bounded correction, verification, terminal receipt, and read-only review-context evaluation. These are review-lifecycle concerns only; ordinary repository policy owns delivery.
- Refuter and fix validator consume the same provider contract. A validator that could not inspect produced no verdict — surface a blocked decision; never record it as failed (that irreversibly consumes the single correction).
- Capability advertisement requires shared-contract conformance plus organic runtime proof. Codex stays unadvertised until both positive and fail-closed proofs pass.
- Transport failures never consume a correction budget, duplicate a capture, or strand a lineage.
- Historical receipts stay readable; never rewrite
provider_commandorruntime_interceptiondescriptors.
What ships with it
2 files 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.
- 7d ago First seen · 54 lines · 46 tokens per session scan A dd2c81cecd00
rdd-advisory-transport is a skill published in the GitHub repository Gentleman-Programming/gentle-ai (6,594 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 878 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 2026-09-03.
Other skills, from other repositories
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.
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.
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…
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…
jira
Unified Jira entry point. Routes to preview (default), create, or review subcommands.