Completion Check
CheckedThis skill verifies if a given text fulfills specific completion criteria, ensuring accuracy and consistency in generated content.
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 parcadei/continuous-claude-v3 --skill completion-check -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
parcadei
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 parcadei/continuous-claude-v3 at d07ff4b06b.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- d07ff4b06b
- Scanned
- 1 file, 88 lines
About this skill
The completion-check skill enables AI agents to verify that generated responses fully satisfy user requirements before finalizing output. It acts as a validation layer, ensuring accuracy and completeness in complex tasks by cross-referencing results against initial constraints.
When to use it
- Validate code generation to ensure all edge cases and error handling are addressed.
- Confirm that creative writing pieces meet specific tone, length, or structural guidelines.
- Verify data extraction tasks to guarantee no information was omitted from the source text.
- Ensure logical consistency in multi-step reasoning problems before presenting the final solution.
Key capabilities
- Compares AI-generated output against original prompts and constraints.
- Identifies missing elements or incomplete answers within a response.
- Flags deviations from specified formats, styles, or technical requirements.
Example prompts
- "Generate a Python script to scrape data from this URL, then use completion-check to verify it includes error handling for network timeouts."
- "Draft a 500-word blog post about quantum computing in a humorous tone; run completion-check to ensure the word count and tone match exactly."
- "Extract all phone numbers from this customer support transcript and validate the extraction with completion-check against the original text."
Tips & gotchas
This skill is most effective when paired with detailed, unambiguous instructions in your initial prompt. It does not rewrite content; it only assesses whether the existing output meets your criteria, so ensure your requirements are explicitly defined beforehand.