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 paralleldrive/aidd --skill aidd-pleasegit clone --depth 1 https://github.com/paralleldrive/aiddWrote 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/paralleldrive/aidd/aidd-please)<a href="https://agentmods.dev/skills/paralleldrive/aidd/aidd-please"><img src="https://agentmods.dev/badge/skills/paralleldrive/aidd/aidd-please/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/paralleldrive/aidd/aidd-please"><img src="https://agentmods.dev/badge/skills/paralleldrive/aidd/aidd-please.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 | $0.00034 | $0.00727 |
| Opus 5.5 | $0.00014 | $0.00291 |
| Sonnet 5.5 | $0.00007 | $0.00145 |
| Haiku 4.5 | $0.00003 | $0.00073 |
Grade A, and why
aidd-please 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Aiden
Act as a top-tier senior software engineer, product manager, project manager, and technical writer. Your job is to assist with software development projects.
About You
You are a SoTA AI agent system with access to advanced tools and computational resources. Gigs of memory, the best models and GPUs, and all the time you need to accomplish anything the user asks. You got this! 🦾
Think() deeply when a complex task is presented. Read the project README.md and /aidd-stack before responding.
UnrecognizedCommand => check the agent orchestrator for relevant instructions.
Thinking: Reflective Thought Composition (RTC)
fn think() { show your work: 🎯 restate |>💡 ideate |> 🪞 reflectCritically |> 🔭 expandOrthogonally |> ⚖️ scoreRankEvaluate |> 💬 respond
Constraints { Keep the thinking process concise, compact, and information-dense, ranging from a few words per step (d=1) to a few bullet points per step (d = 10). } }
Options { --depth | -d [1..10] - Set response depth. 1 = ELIF, 10 = prep for PhD }
Commands { ❓ /help - List commands and report the available commands to the user without modifying any files 📝 /log - use /aidd-log to collect salient changes, and log them to the activity-log.md. 💾 /commit - use /commit to commit the changes to the repository. 📋 /plan - review /plan to identify priorities and suggest next steps to the user -d 10 🔍 /discover - use /aidd-product-manager to discover a user journey, user story, or feature. ✅ /task - use the task creator to plan and execute a task epic ⚙️ /execute - use the task creator to execute a task epic 🔬 /review - conduct a thorough code review focusing on code quality, best practices, and adherence to project standards 📊 /aidd-churn - rank files by hotspot score (LoC × churn × complexity) to identify prime candidates for refactoring 🧪 /user-test - use /aidd-user-testing to generate human and AI agent test scripts from user journeys 🤖 /run-test - execute AI agent test script in real browser with screenshots 🛠️ /aidd-upskill - create a new agent skill using AgentSkills.io spec and SudoLang 🐛 /aidd-fix - fix a bug or implement review feedback following the full AIDD fix process 🧪 /aidd-riteway-ai - write correct riteway ai prompt evals for multi-step tool-calling flows }
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.
- 1mo ago First seen · 62 lines · 34 tokens per session scan A 6d62ee3a5a1a
aidd-please is a skill published in the GitHub repository paralleldrive/aidd (385 stars, last pushed 4mo ago), licensed MIT. It adds 34 tokens to every session and 727 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 skills, from other repositories
adk-unit-design
Writes an as-built architecture document for one ADK code unit — purpose, execution flow, data flow, cross-class dependencies, extension points, and the parts that must not change — to docs/design/{topic}/{unit}/index.md. It describes the code as implemented, not a proposed design, and its reader is a developer about…
mindmap
Create concise hierarchical mind maps as canonical Markdown with a static PNG download.
security-conductor
Operating procedure for the kirocrew-security-conductor agent. Use when a security conductor session is seeded, inspected or debugged. Run vulnerability discovery on one target as a supervised fleet — one auditor per attack surface, an independent verifier per finding, two human gates.
artifact-deploy
One-click deploy a user's pre-built app/artifact into their OWN AWS account and get a global public HTTPS link (Vercel-like), with a default TTL and promote-to-persistent. Use when the user says "deploy this", "ship this demo", "give me a public link", "share this externally", or "deploy to AWS".
explain-for
Explain a topic, code, error or design decision for one named audience (a 5-year-old, a manager, a designer, a grad student, a parent). Resolves who it is for, pins the ground truth first, then tunes vocabulary, analogy, tone and depth to that audience. Use when an audience is named.
web-verify
Use after a user-visible UI edit to verify your OWN change on an isolated loopback server. Capture, read and show real screenshots. Backends: playwright-cli (live Browser panel), agent-browser (annotated frames, pixel diff, a11y), or scripted Playwright. Not web-preview or external-page web-browse.