SShortSingh.
Back to feed

HazelJS Skillgate Trims CMS APIs Into Controlled Agent Skill Sets Using NodeJS

0
·1 views

Developers working with AI agents often expose entire CMS APIs, which degrades tool selection and leaves dangerous endpoints accessible. HazelJS Skillgate addresses this by reading an OpenAPI spec and converting only a curated, tagged subset of endpoints into discrete agent skills. Each skill is classified as read-only or write, with write operations flagged for approval and destructive methods excluded entirely. The system maps HTTP methods and OpenAPI tags to determine which endpoints qualify, using an opt-in editorial tag to filter the surface down to relevant operations. The result is a smaller, labeled toolset that improves agent precision and reduces the risk of unintended or harmful API calls.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Claude Opus 5 Silently Resolves Conflicting Instructions Based on File Position

When an AI agent like Claude encounters two contradictory instructions in a configuration file, it silently commits to one without issuing any warning to the user. Controlled experiments show that position within the file is the dominant factor — the rule placed lower in the file wins roughly 90% of the time, regardless of which rule the developer intended to take priority. Unlike older Claude models that would inconsistently flip between conflicting rules across runs, Opus 5 picks one side and sticks to it every time, eliminating the only visible symptom that a conflict existed. This behavioral change means developers lose the run-to-run inconsistency that previously hinted something was wrong, making silent instruction conflicts harder to detect. The practical risk is that an exception or override rule placed high in a file may be completely ignored by the model, with no error or alert to indicate the problem.

0
ProgrammingDEV Community ·

Walter MCP Lets Developers Replace AI Humanizer Boilerplate With a Single Prompt

Developers building AI content pipelines traditionally write significant boilerplate code to handle authentication, retry logic, rate limiting, and response parsing when integrating humanizer APIs. Walter's Model Context Protocol (MCP) server, connected to an LLM like Claude, aims to eliminate this overhead by shifting orchestration logic away from the developer's codebase. Instead of maintaining custom integration code, developers can instruct the LLM in plain language to draft, detect, and humanize text in a single prompt. The MCP server is configured once with a URL entry, after which the host manages authentication and retries at the protocol level rather than requiring per-request handling in application code. The approach is positioned as reducing long-term maintenance burden for teams running content pipelines at scale.

0
ProgrammingDEV Community ·

GitHub Repo Offers Growth Hacking Strategies Tailored for AI Agents

A new GitHub repository called 'awesome-growth-hacking-skills' has emerged, outlining growth hacking strategies designed specifically for AI agents like ChatGPT and Claude. The project aims to help developers bridge the gap between technical AI capabilities and real-world business objectives such as user engagement and sales growth. It has attracted notable interest, accumulating 817 stars on GitHub. Unusually, the repository is built using Shell scripting, a language more commonly associated with workflow automation than AI development, which some may find limiting. The project reflects a broader trend in the developer community toward combining marketing thinking with technical AI expertise.

0
ProgrammingDEV Community ·

OpenAI Launches Daybreak to Cover Full AI Cybersecurity Cycle From Detection to Fix

OpenAI announced Daybreak in May 2026, a cybersecurity initiative that uses frontier AI to handle the complete defensive workflow — from vulnerability discovery and exploit validation to patch generation and remediation verification. The program bundles several components, including GPT-5.5-Cyber, Codex Security, and Daybreak Red, each targeting a distinct stage of the security process. A collaboration with Trail of Bits called Patch the Planet aims to deliver fixes directly into open-source projects, while a Cyber Partner Program allows trusted vendors to integrate Daybreak capabilities into their own security products. OpenAI has already used the initiative to identify and responsibly disclose previously unknown vulnerabilities in major software engines, including Google's V8 JavaScript engine. The initiative is designed to address a common gap in AI-assisted security, where a high volume of alerts holds limited value unless teams can also reliably prioritize and resolve the underlying issues.

HazelJS Skillgate Trims CMS APIs Into Controlled Agent Skill Sets Using NodeJS · ShortSingh