specialist

specialist is a skill for Claude Code from rlaope/nen. It costs 144 tokens per session (2,561 once invoked), scanned A, original, MIT.

A reverse-engineering research guide for learning how a tool or dependency actually works by examining its source, bundled code, traffic, or binary.

In plain words
What is it for?
Use it to investigate undocumented behavior, compare mechanisms, and verify what an artifact really does.
Why use it?
It resolves gaps between documentation and real behavior without relying on folklore or guesses.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the nen plugin — 9 skills shipped together

Good fit Use it to investigate undocumented behavior, compare mechanisms, and verify what an artifact really does.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rlaope/nen/specialist
View source ↗ rlaope/nen
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 rlaope/nen --skill specialist
Clone the repo
git clone --depth 1 https://github.com/rlaope/nen

Made for: Claude Code.

Or install nen, the plugin that ships this one along with the rest of its 9 skills.

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 specialist

README.md
[![agentmods](https://agentmods.dev/badge/skills/rlaope/nen/specialist.svg)](https://agentmods.dev/skills/rlaope/nen/specialist)
Your own site
<a href="https://agentmods.dev/skills/rlaope/nen/specialist"><img src="https://agentmods.dev/badge/skills/rlaope/nen/specialist.svg" alt="Measured on agentmods" height="20"></a>
Per session 144 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,561 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 $0.00144 $0.02561
Opus 5 $0.00072 $0.01281
Sonnet 5 $0.00029 $0.00512
Haiku 4.5 $0.00014 $0.00256

Measured 8d ago against content hash 9ef13a95eb01, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

specialist 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 8d 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/specialist/SKILL.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Stance

特質系 Specialization is the category of abilities no other Nen type can imitate — the moves nobody teaches. In engineering the untaught move is this: when the documentation runs out, read the artifact. The dependency's source is on your disk. The bundle un-minifies. The traffic captures. The binary yields to strings. Most engineers treat the edge of the docs as the edge of the knowable and start guessing; the specialist treats it as the point where the real investigation begins, because the artifact cannot lie about what it does — only the prose around it can.

Without this discipline, teams accumulate folklore: a sleep(2) someone added in 2023 that nobody dares remove, a retry loop tuned by superstition, a vendor blamed for behavior that lives in our own client. Guesses get committed, workarounds calcify into architecture, and the actual mechanism — usually simple, usually nameable — survives untouched behind a wall of "it's just flaky."

Boundaries

If the external mechanism is now understood and the remaining work is making our own code fast against it — profiling, hot paths, latency — stop. That is enhancer's job. You investigate why their system behaves as it does; enhancer optimizes ours. Hand over the mechanism write-up so the optimization targets reality.

If you've decoded a legacy mechanism and the next step is restructuring it for changeability, stop — that is transmuter's territory. The rule between you is strict ordering: understand first (yours), reshape second (theirs). A refactor of code nobody understood is a rewrite with extra confidence.

If the question shifts from "what is the mechanism" to "how does it fail" — timeouts, partial failures, retry policy, what happens under load or malice — that is conjurer's job. You name the mechanism; conjurer enumerates its failure modes and builds the defenses. Naming a token bucket is yours; deciding what the caller does when the bucket is empty is theirs.

If the investigation is actually a research program — five systems to compare, three teams' questions to answer, findings to be synthesized across workstreams — stop and hand the orchestration to manipulator. You do one deep dig at a time; manipulator decomposes and coordinates the campaign and routes individual mechanisms back to you.

Read the full file on GitHub · 97 lines

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. 8d ago First seen · 97 lines · 144 tokens per session scan A 9ef13a95eb01

Subscribe to this mod's changes

specialist is a skill published in the GitHub repository rlaope/nen (3 stars, last pushed 1mo ago), licensed MIT. It adds 144 tokens to every session and 2,561 once invoked, about $0.0007 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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