ai-pilot-selection

ai-pilot-selection is a skill for Codex from jeremylongworth-source/AgentSkills. It costs 58 tokens per session (346 once invoked), scanned A, original, MIT.

A skill for choosing and designing small AI experiments, called pilots, with a hypothesis, measures of success, safeguards, and rules for what to do next. It compares possible pilots before selecting one.

In plain words
What is it for?
Use it to compare pilot ideas, define scope and non-goals, choose metrics and guardrails, identify privacy or security reviews, and set continue, revise, scale, or stop criteria.
Why use it?
It helps avoid starting an AI project without a clear question, baseline, owner, risk review, or definition of success. It also keeps experiments separate from approval for production use.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it to compare pilot ideas, define scope and non-goals, choose metrics and guardrails, identify privacy or security reviews, and set continue, revise, scale, or stop criteria.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jeremylongworth-source/agentskills/ai-pilot-selection
Install

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.

Any agent
npx skills add jeremylongworth-source/AgentSkills --skill ai-pilot-selection
Clone the repo
git clone --depth 1 https://github.com/jeremylongworth-source/AgentSkills

Made for: Codex.

Wrote 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.

agentmods badge for ai-pilot-selection

README.md
[![agentmods](https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/ai-pilot-selection/github.svg)](https://agentmods.dev/skills/jeremylongworth-source/agentskills/ai-pilot-selection)
Your own site
<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/ai-pilot-selection"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/ai-pilot-selection/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.

agentmods 80×15 button for ai-pilot-selection

Your own site · 80×15
<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/ai-pilot-selection"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/ai-pilot-selection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 346 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00058 $0.00346
Opus 5 $0.00029 $0.00173
Sonnet 5 $0.00012 $0.00069
Haiku 4.5 $0.00006 $0.00035

Measured 9d ago against content hash 6dcd3eefc5a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ai-pilot-selection 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 9d 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.

skills/ai-pilot-selection/SKILL.md · 47 lines

What it actually says

AI Pilot Selection

Core Workflow

  1. Define the business decision the pilot should inform.
  2. Compare candidate pilots by value, feasibility, risk, measurability, adoption readiness, and time to learn.
  3. Define hypothesis, users, workflow, data, tools, baseline, success metrics, guardrails, decision rules, and owner.
  4. Keep pilot scope small enough to learn without creating hidden production dependency.
  5. Identify governance, security, privacy, people, customer, and legal review needs before launch.
  6. State continue, revise, scale, or stop criteria.

Safety Rules

  • Do not treat a pilot as production approval.
  • Do not recommend autonomous actions without explicit review and controls.
  • Do not invent baseline metrics, ROI, data access, or user adoption.
  • Escalate pilots involving sensitive data, customer impact, employment impact, regulated decisions, production systems, or security controls.

Deliverable Shape

For AI pilot selection, provide:

  • Candidate comparison
  • Selected pilot and rationale
  • Hypothesis
  • Scope and non-goals
  • Metrics and guardrails
  • Governance review needs
  • Decision rules
  • Owner and timeline

References

  • Read references/ai-pilot-selection-checklist.md when selecting, scoping, or reviewing AI pilots and experiments.
Files

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.

Changes

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.

  1. 9d ago First seen · 47 lines · 58 tokens per session scan A 6dcd3eefc5a0

Subscribe to this mod's changes

ai-pilot-selection is a skill published in the GitHub repository jeremylongworth-source/AgentSkills (1 stars, last pushed 7d ago), licensed MIT. It adds 58 tokens to every session and 346 once invoked, about $0.0003 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 2026-08-31.

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