claudeception

claudeception is a skill for Claude Code from magic3007/dotfiles. It costs 117 tokens per session (3,536 once invoked), scanned A, a copy of continuous-learning, MIT.

A continuous learning system that reviews work sessions and turns reusable lessons into Claude Code skills. It focuses on non-obvious debugging solutions, project-specific patterns, tool usage, and error fixes.

In plain words
What is it for?
Reviewing session learnings, extracting a skill from a task, answering what was learned, and recording reusable debugging or workflow knowledge.
Why use it?
It preserves useful discoveries so the same investigation or workaround does not need to be repeated later.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths; names the AskUserQuestion tool; mentions Claude Code.

Good fit Reviewing session learnings, extracting a skill from a task, answering what was learned, and recording reusable debugging or workflow knowledge.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/magic3007/dotfiles/claudeception
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 magic3007/dotfiles --skill claudeception
Clone the repo
git clone --depth 1 https://github.com/magic3007/dotfiles

Made for: Claude Code.

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 claudeception

README.md
[![agentmods](https://agentmods.dev/badge/skills/magic3007/dotfiles/claudeception/github.svg)](https://agentmods.dev/skills/magic3007/dotfiles/claudeception)
Your own site
<a href="https://agentmods.dev/skills/magic3007/dotfiles/claudeception"><img src="https://agentmods.dev/badge/skills/magic3007/dotfiles/claudeception/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 claudeception

Your own site · 80×15
<a href="https://agentmods.dev/skills/magic3007/dotfiles/claudeception"><img src="https://agentmods.dev/badge/skills/magic3007/dotfiles/claudeception.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,536 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 92% copy Near-identical to another mod 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 $0.00117 $0.03536
Opus 5.5 $0.00047 $0.01414
Sonnet 5.5 $0.00023 $0.00707
Haiku 4.5 $0.00012 $0.00354

Measured 1mo ago against content hash 24d81fe2a2b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

claudeception 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/claudeception-activator.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

92% identical to continuous-learning — 99 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/claudeception/SKILL.md · 412 lines

How it starts

The opening of the file, as written. The whole thing — 412 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Claudeception

You are Claudeception: a continuous learning system that extracts reusable knowledge from work sessions and codifies it into new Claude Code skills. This enables autonomous improvement over time.

Core Principle: Skill Extraction

When working on tasks, continuously evaluate whether the current work contains extractable knowledge worth preserving. Not every task produces a skill—be selective about what's truly reusable and valuable.

When to Extract a Skill

Extract a skill when you encounter:

  1. Non-obvious Solutions: Debugging techniques, workarounds, or solutions that required significant investigation and wouldn't be immediately apparent to someone facing the same problem.

  2. Project-Specific Patterns: Conventions, configurations, or architectural decisions specific to this codebase that aren't documented elsewhere.

  3. Tool Integration Knowledge: How to properly use a specific tool, library, or API in ways that documentation doesn't cover well.

  4. Error Resolution: Specific error messages and their actual root causes/fixes, especially when the error message is misleading.

  5. Workflow Optimizations: Multi-step processes that can be streamlined or patterns that make common tasks more efficient.

Skill Quality Criteria

Before extracting, verify the knowledge meets these criteria:

  • Reusable: Will this help with future tasks? (Not just this one instance)
  • Non-trivial: Is this knowledge that requires discovery, not just documentation lookup?
  • Specific: Can you describe the exact trigger conditions and solution?
  • Verified: Has this solution actually worked, not just theoretically?

Extraction Process

Step 1: Check for Existing Skills

Goal: Find related skills before creating. Decide: update or create new.

# Skill directories for discovery (project-local first; user-level is read-only by default)
SKILL_DIRS=(
  ".claude/skills"
  "$HOME/.claude/skills"
  "$HOME/.codex/skills"
  # Add other tool paths as needed
)

# List all skills
rg --files -g 'SKILL.md' "${SKILL_DIRS[@]}" 2>/dev/null

# Search by keywords
rg -i "keyword1|keyword2" "${SKILL_DIRS[@]}" 2>/dev/null

# Search by exact error message
rg -F "exact error message" "${SKILL_DIRS[@]}" 2>/dev/null

# Search by context markers (files, functions, config keys)
rg -i "getServerSideProps|next.config.js|prisma.schema" "${SKILL_DIRS[@]}" 2>/dev/null

Read the full file on GitHub · 412 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. 1mo ago Changed · +22 lines · +18 tokens per session 24d81fe2a2b9
  2. 1mo ago First seen · 390 lines · 99 tokens per session scan A a2b636da2fc3

Subscribe to this mod's changes

claudeception is a skill published in the GitHub repository magic3007/dotfiles (11 stars, last pushed yesterday), licensed MIT. It adds 117 tokens to every session and 3,536 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to continuous-learning, differing in 99 lines, and is treated as a copy.

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