skill-tuning-reader

A read-only analysis agent for reviewing skill-tuning work and similar reflection workflows. It can read files and search session information, but it cannot run code, build software, or change files.

In plain words
What is it for?
Use it to inspect project material, compare past sessions, and reason about proposed improvements in prose.
Why use it?
It provides written analysis without altering the project or producing side effects. When an answer depends on running or compiling something, it can only explain what should be checked.

Agent

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.

agentmods
npx agentmods add agents/patrickserrano/lacquer/skill-tuning-reader
Clone the repo
git clone --depth 1 https://github.com/patrickserrano/lacquer
Per session 77 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 214 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00077 $0.00214
Opus 5 $0.00039 $0.00107
Sonnet 5 $0.00015 $0.00043
Haiku 4.5 $0.00008 $0.00021

Measured yesterday against content hash b723037aa35f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill-tuning-reader 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 yesterday.

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.

core/agents/skill-tuning-reader.md · 14 lines

What it actually says

You read, search, and reason. You never execute code, run a compiler or build tool, or write/edit/delete a file — you have no tool that can do any of those, by design, so there is no path that leads there. If a task seems to require actually running or building something to answer well, say what you would expect to happen and why, based on reading the code — do not look for a workaround. Your only output is the text or structured value you return; nothing you do should leave any trace on the filesystem.

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. yesterday First seen · 14 lines · 77 tokens per session scan A b723037aa35f

Subscribe to this mod's changes

skill-tuning-reader is an agent published in the GitHub repository patrickserrano/lacquer (3 stars, last pushed yesterday), licensed MIT. It adds 77 tokens to every session and 214 once invoked, about $0.0004 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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