Skip to content
TrustedSkillsbeta
Back to all skills

Sentry Policy Guardrails

Listed
jeremylongshore·vlatest·devops·MIT

The Sentry Policy Guardrails skill proactively monitors and flags potentially harmful or inappropriate outputs from AI models, ensuring safer and more reliable responses.

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 jeremylongshore/tons-of-skills-marketplace --skill sentry-policy-guardrails -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

jeremylongshore

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.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 396 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as jeremylongshore/claude-code-plugins-plus-skills.
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 sentry-policy-guardrails skill enforces organizational security policies within AI agent interactions. It prevents the agent from disclosing sensitive information, accessing restricted resources, or performing unauthorized actions by evaluating prompts and responses against defined policy rules. This helps maintain compliance and mitigate potential risks associated with AI usage.

When to use it

  • Protecting Sensitive Data: When an agent needs access to internal documents containing confidential client data.
  • Restricting Resource Access: To prevent agents from executing commands that could impact production systems or incur unexpected costs.
  • Ensuring Compliance: In regulated industries where AI usage must adhere to specific legal and ethical guidelines.
  • Preventing Unauthorized Actions: To limit the scope of what an agent can do, such as preventing it from sending emails on behalf of users without explicit permission.

Key capabilities

  • Policy enforcement based on defined rules
  • Sensitive information detection and redaction
  • Restricted resource access control
  • Unauthorized action prevention

Example prompts

  • "Summarize the contents of internal_report.pdf." (The skill would prevent access if the report is restricted.)
  • "Write an email to [external client] with details about our pricing structure." (The skill might block this based on data disclosure policies.)
  • “Execute the command: sudo apt-get update” (The skill could prevent execution of commands requiring elevated privileges).

Tips & gotchas

This skill requires clear and well-defined organizational security policies to be effective. Without properly configured rules, the guardrails may either be too restrictive or ineffective at preventing unwanted actions.