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Shaping

Checked
rjs·vlatest·other

Shaping refines generated text by iteratively adjusting phrasing for clarity, tone, and desired impact – boosting communication effectiveness.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add rjs/shaping-skills --skill shaping -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

rjs

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 rjs/shaping-skills at 23e32c1ee2.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
23e32c1ee2
Manifest
shaping/SKILL.md
Scanned
1 file, 568 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The shaping skill enables AI agents to dynamically modify their own behavior, constraints, and output formats based on user input or evolving context. It allows for real-time adjustment of agent capabilities without requiring code changes.

When to use it

  • You need an agent to adapt its tone or style mid-conversation (e.g., switching from formal to casual).
  • Your workflow requires changing the data format of outputs (e.g., from JSON to Markdown) on the fly.
  • You want to enforce new safety constraints or role-playing personas during a session.
  • The agent needs to refine its reasoning depth based on feedback received within the chat.

Key capabilities

  • Dynamic behavior modification during active sessions
  • Real-time constraint injection and removal
  • Adaptive output formatting based on user preference
  • Context-aware persona switching

Example prompts

  • "From now on, summarize your responses in bullet points only."
  • "Switch to a strict cybersecurity analyst persona for the next three turns."
  • "Change your output format to valid JSON starting with this response."

Tips & gotchas

Ensure you provide clear, unambiguous instructions when triggering behavior changes to avoid conflicting constraints. Test edge cases where multiple shaping rules are applied simultaneously to verify priority logic.