self-assess

self-assess is a skill for Claude Code from smk-labs/claude-plugins. It costs 158 tokens per session (1,720 once invoked), scanned A, original, MIT.

A placement quiz process that measures what someone can actually do in a subject and records the result in PROFILE.md.

In plain words
What is it for?
Use it to assess a learner with scenario-based questions, identify gaps and strengths, and create a profile for planning their course.
Why use it?
It separates practical understanding from familiarity with terminology, so later teaching can start at the right level.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents; names the AskUserQuestion tool.

Part of the learnable plugin — 4 skills, 2 agents shipped together

Good fit Use it to assess a learner with scenario-based questions, identify gaps and strengths, and create a profile for planning their course.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/smk-labs/claude-plugins/self-assess
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 smk-labs/claude-plugins --skill self-assess
Clone the repo
git clone --depth 1 https://github.com/smk-labs/claude-plugins

Made for: Claude Code.

Or install learnable, the plugin that ships this one along with the rest of its 4 skills, 2 agents.

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 self-assess

README.md
[![agentmods](https://agentmods.dev/badge/skills/smk-labs/claude-plugins/self-assess/github.svg)](https://agentmods.dev/skills/smk-labs/claude-plugins/self-assess)
Your own site
<a href="https://agentmods.dev/skills/smk-labs/claude-plugins/self-assess"><img src="https://agentmods.dev/badge/skills/smk-labs/claude-plugins/self-assess/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 self-assess

Your own site · 80×15
<a href="https://agentmods.dev/skills/smk-labs/claude-plugins/self-assess"><img src="https://agentmods.dev/badge/skills/smk-labs/claude-plugins/self-assess.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 158 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,720 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 $0.00158 $0.01720
Opus 5 $0.00079 $0.00860
Sonnet 5 $0.00032 $0.00344
Haiku 4.5 $0.00016 $0.00172

Measured 9d ago against content hash 3712401fa0d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

self-assess 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.

learnable/skills/self-assess/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

self-assess: find the real level, not the claimed one

The output is one file, PROFILE.md, and it aims everything that comes after it. If it is wrong, the whole course is wrong, so accuracy here is worth more than speed.

Read reference/quiz-craft.md before writing a single question. It is the difference between a quiz that measures and a quiz that flatters.

Ground rules

You never teach during a quiz. No hints, no feedback between batches, no encouragement that leaks an answer. All explanation waits until the end.

You never delegate the interaction. Every question is asked from this session. Subagents may help you survey the domain beforehand; they never talk to the learner. Run this on the strongest model available, because the real work is reading a vague or partial answer and correctly deciding whether it shows knowledge, intuition, or a guess.

"I do not know" is a good answer. It is the cleanest signal in the whole exercise. Never discourage it, and always leave the free-text option open.

Step 0: which kind of assessment is this

Three situations, and they need different questions.

  • New subject, no course yet. The default. Cover the whole domain and write a fresh PROFILE.md.
  • An existing course, before or between books. Read PROFILE.md, TOC.md and progress/log.md first. Aim the questions at what the course has already taught and at the gaps the old profile recorded. The point is to measure movement, so write the result as a new dated section in PROFILE.md next to the original, never over it. A profile that gets overwritten destroys the only before-and-after this system has.
  • One specific book or chapter that was already taught. Draw the questions from that book's own lesson list and quiz topics in books/, rephrased so recall does not substitute for understanding. Never reuse a question they have already answered: ask the same mechanism from a different angle. Report per chapter so they can see exactly what did not stick, and note it in progress/log.md.

Read the full file on GitHub · 99 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. 9d ago First seen · 99 lines · 158 tokens per session scan A 3712401fa0d2

Subscribe to this mod's changes

self-assess is a skill published in the GitHub repository smk-labs/claude-plugins (11 stars, last pushed 4d ago), licensed MIT. It adds 158 tokens to every session and 1,720 once invoked, about $0.0008 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.

Related

Other skills, from other repositories

learn

Personalized tutor with memory across sessions — "teach me X, at my pace." Builds a syllabus with a pass rubric per unit, teaches one unit per session: a recall quiz on what's due (date-based spaced repetition), examples matched to your background, and an active-recall check graded against the rubric with confidence…

duthaho/skillhub · 164 tokens

meta-learn

Deliberate deep-dive capture for a completed skill session that deserves more than the automatic one-line row every T1/T2 skill already logs at its own close — asks three extraction questions (what surprised you, what was wrong, what was missing), turns real answers into specific, falsifiable pattern statements, and…

stefanoskarakasis/Product-Marketing-Skills · 132 tokens

explain

Comprehensive deep-dive explanation of GitHub repos, live websites/products, competitors, data products, algorithms/calculators, concepts, or any topic. Spawns parallel research + exploration agents, drives a real browser for live products, reverse-engineers calculators to runnable validated code, and saves a full doc…

adamjali/claude-skills · 162 tokens

becoming-senior-pm

Use this skill when the user asks "how do I become a senior PM", "what does senior PM actually mean", "I want to get promoted to senior", "what's the difference between PM and senior PM", "I've been a PM for 2–3 years and want to grow", "my manager says I need to work more strategically", "I'm stuck at PM level", or…

Productfculty-aipm/PM-Copilot-by-Product-Faculty · 126 tokens

solo-to-cpo

Use this skill when the user asks about "career path to CPO", "how do I become a CPO", "PM career progression", "path from PM to VP Product", "PM career growth", "how do I grow as a PM", "what does the PM career ladder look like", "solo PM to product leader", or wants to understand and plan their PM career trajectory…

Productfculty-aipm/PM-Copilot-by-Product-Faculty · 90 tokens

technical-pm

Use this skill when the user asks about "working with engineers as a PM", "how technical should a PM be", "I feel out of my depth with engineers", "how to earn engineering trust", "how to read code as a PM", "should I learn to code", "bridging the gap with engineering", "technical credibility for PMs", or wants to…

Productfculty-aipm/PM-Copilot-by-Product-Faculty · 109 tokens