Reading Deduction Cert
CheckedThis skill analyzes text to assess logical reasoning and deduction accuracy, aiding in verification and critical evaluation tasks.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add kazukinagata/shinkoku --skill reading-deduction-cert -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
kazukinagata
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned kazukinagata/shinkoku at 607574d5e5.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 607574d5e5
- Scanned
- 2 files, 144 lines
About this skill
What it does
This skill enables AI agents to process text and draw logical conclusions based on implicit information. It can analyze passages, identify relationships between entities, and infer missing details not explicitly stated. The agent can use this ability for tasks requiring comprehension beyond surface-level understanding of written material.
When to use it
- Answering nuanced questions: When a question requires more than just finding keywords in a text – when the answer is implied.
- Summarizing complex documents: To extract key insights and relationships even if they aren't directly stated.
- Analyzing narratives: To understand character motivations or predict future events based on clues within a story.
- Evaluating arguments: To identify underlying assumptions and potential flaws in reasoning presented in written form.
Key capabilities
- Text analysis
- Logical inference
- Relationship identification
- Implicit information extraction
Example prompts
- "Based on this article about the company, what is its likely strategy for future growth?" (Provide article text)
- “Read this short story and tell me why the character acted that way.” (Provide story text)
- "Analyze this legal document and identify any potential conflicts of interest." (Provide document text)
Tips & gotchas
The skill's effectiveness depends on the clarity and complexity of the provided text. Very ambiguous or poorly written passages may lead to inaccurate deductions.