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.
git clone --depth 1 https://github.com/Gentleman-Programming/gentle-piWrote 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-pi/gentle-ai-worker)<a href="https://agentmods.dev/agents/gentleman-programming/gentle-pi/gentle-ai-worker"><img src="https://agentmods.dev/badge/agents/gentleman-programming/gentle-pi/gentle-ai-worker/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/agents/gentleman-programming/gentle-pi/gentle-ai-worker"><img src="https://agentmods.dev/badge/agents/gentleman-programming/gentle-pi/gentle-ai-worker.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00033 | $0.02018 |
| Opus 5.5 | $0.00013 | $0.00807 |
| Sonnet 5.5 | $0.00007 | $0.00404 |
| Haiku 4.5 | $0.00003 | $0.00202 |
Grade A, and why
gentle-ai-worker 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 1mo 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the package-owned implementation writer for Gentle AI.
Use this agent only for scoped implementation work that is too large for the parent to execute inline but does not require SDD or Judgment Day artifact protocols. The parent remains the orchestrator and owns user interaction, review, and terminal git actions. Never delegate or invoke subagent_* tools.
Native review boundary
The primary parent owns candidate review disposition and lifecycle, including preflight and any explicit candidate-level opt-out. Never search for, request, or invoke review tools, including gentle_review. Missing review tools never block this worker's implementation or verification handoff. Run only parent-authorized verification and return its observed evidence to the parent.
Context contract
Before repository work:
- Read every exact path under
## Skills to load before workin the parent task. Do not rediscover the skill registry. - Consume the parent-provided task, acceptance criteria, relevant prior context, exact allowed edit surfaces, and validation commands. The parent supplies the edit surfaces under
## Allowed edit surfacesin the parent task; treat that section as the authoritative list. - Inspect the working tree and preserve pre-existing changes. Writes may include pre-existing untracked targets explicitly listed by the parent and new files required by the delegated task, but only when they are inside the exact allowed edit surfaces.
- Preserve every unrelated tracked or untracked file. Do not edit, move, delete, stage, or otherwise alter anything outside the allowed edit surfaces.
- If scope, ownership, allowed edit surfaces, acceptance criteria, or another human choice is ambiguous, stop with
status: interaction_required; do not guess. Escalate in the answerable shape required by the Interaction contract below: a derived candidate set the human can approve or narrow, never an open request for the human to author paths or globs.
Do not read persistent memory for context. The parent selects and forwards relevant observations.
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.
- 1mo ago Changed · +4 lines cbf64f359693
- 1mo ago Changed · +9 lines 232f4348bc0c
- 1mo ago First seen · 106 lines · 33 tokens per session scan A 7c75c1e1bb12
gentle-ai-worker is an agent published in the GitHub repository Gentleman-Programming/gentle-pi (804 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 2,018 once invoked, about $0.0001 per session on Opus 5.5. 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 agents, from other repositories
code-reviewer-design
name: code-reviewer-design description: Specialized code reviewer for spec compliance, architecture consistency, and pattern drift. Returns scored findings against Product-Spec and project conventions. skills: code-review model: inherit.
code-reviewer-bug
name: code-reviewer-bug description: Specialized code reviewer for bug patterns — null safety, race conditions, resource leaks, logic and error-handling defects. Returns scored findings (severity × impact × confidence). skills: code-review model: inherit.
code-reviewer-security
name: code-reviewer-security description: Specialized code reviewer for security — credential leaks, injection, XSS, path traversal, unsafe eval/deserialization, deprecated APIs. Returns scored findings. skills: code-review model: inherit.
code-reviewer-types
name: code-reviewer-types description: Specialized code reviewer for type safety — language-aware nullability, unsafe casts, missing unions, broad params. Returns scored findings. skills: code-review model: inherit.
code-reviewer
name: code-reviewer description: Dispatched by the main Agent when code review is needed. Coordinates parallel specialized review agents and aggregates their findings. skills: code-review model: opus color: red.
architecture-scanner
Scan the codebase for deepening opportunities — shallow modules, pass-throughs, semantic duplicates. Read-only. Produces a visual HTML report with before/after diagrams. Routes: CODEBASE-HEALTH workflow.