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 Undertone0809/rudder --skill conversation-to-skillgit clone --depth 1 https://github.com/Undertone0809/rudderWrote 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/undertone0809/rudder/conversation-to-skill)<a href="https://agentmods.dev/skills/undertone0809/rudder/conversation-to-skill"><img src="https://agentmods.dev/badge/skills/undertone0809/rudder/conversation-to-skill/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/undertone0809/rudder/conversation-to-skill"><img src="https://agentmods.dev/badge/skills/undertone0809/rudder/conversation-to-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 9 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Excessive Agency · line 154 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00113 | $0.03057 |
| Opus 5 | $0.00056 | $0.01528 |
| Sonnet 5 | $0.00023 | $0.00611 |
| Haiku 4.5 | $0.00011 | $0.00306 |
Grade A, and why
conversation-to-skill 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 10d 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 — 429 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conversation To Skill
This skill turns the work happening in the current conversation into a reusable agent skill.
Its job is not just to write SKILL.md.
Its job is to identify the durable workflow, separate it from one-off thread
noise, decide the right packaging and placement, and produce a skill that will
actually help a future agent perform better.
When useful, this skill should borrow the practical methods of skill-creator:
good descriptions, clean skill structure, eval-friendly organization, and an
improve-via-feedback loop. When this skill owns evaluation, bundle the relevant
toolchain locally under agents/, assets/, eval-viewer/, scripts/, and
references/ so it stays self-contained instead of depending on another skill
directory at runtime.
Use This Skill For
Use this skill when the user is trying to:
- turn the current task or workflow into a reusable skill
- capture a successful collaboration pattern for future runs
- standardize how a class of tasks should be handled
- extract a repeatable agent workflow from the current thread
- package a reasoning framework, execution sequence, or artifact pattern into a skill
- upgrade an existing draft skill so it is general, usable, and easier to trigger
Typical prompts:
- "Turn what we're doing into a skill."
- "I want this conversation to become an agent capability."
- "Make this reusable for next time."
- "Abstract this workflow into a Codex skill."
- "This should be a standard operating pattern, not a one-off chat."
- "Clean up this skill and make it actually reusable."
Do Not Use This Skill For
Do not use this skill when the user mainly wants:
- a summary of the conversation without creating a reusable skill
- immediate execution of the task with no abstraction step
- a skill generated from multiple unseen threads you cannot inspect
- a rigid template that blindly copies file paths, project names, or temporary constraints
- a generic skill factory that ignores what was actually valuable in the conversation
What ships with it
21 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.
- agents/analyzer.md 10 KB
- agents/comparator.md 7.1 KB
- agents/grader.md 8.8 KB
- assets/eval_review.html 6.9 KB
- eval-viewer/generate_review.py 16 KB runs code
- eval-viewer/viewer.html 44 KB
- LICENSE.txt 11 KB
- references/compatibility.md 1.5 KB
- references/description-optimization.md 3.2 KB
- references/evaluation-suite.md 10 KB
- references/schemas.md 12 KB
- scripts/__init__.py 0 B runs code
- scripts/aggregate_benchmark.py 14 KB runs code
- scripts/generate_report.py 13 KB runs code
- scripts/improve_description.py 7.3 KB runs code
- scripts/model_backends.py 3.3 KB runs code
- scripts/package_skill.py 4.1 KB runs code
- scripts/quick_validate.py 4.0 KB runs code
- scripts/run_eval.py 13 KB runs code
- scripts/run_loop.py 13 KB runs code
- scripts/utils.py 6.9 KB runs code
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.
- 10d ago First seen · 429 lines · 113 tokens per session scan A fea3099194a9
conversation-to-skill is a skill published in the GitHub repository Undertone0809/rudder (288 stars, last pushed yesterday), licensed Apache-2.0. It adds 113 tokens to every session and 3,057 once invoked, about $0.0006 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…