Guide · Agent skill
How to use the Quality Self-Assessment Monitor agent skill
Updated · written with AI from the project's own documentation and checked against our catalogue data
The Quality Self-Assessment Monitor is a default skill for worker agents in the Hive agent framework. It tells an agent to pause every set number of iterations and check its own output quality before a separate judge component does. This guide explains what the skill does, how to install it, how to trigger it, and where it falls short. By the end you will know whether it fits a multi-step agent you are building or debugging.
Quality Self-Assessment Monitoraden-hive/hive · Apache-2.0 Download the skill Quick start
- 1Download the ZIP. Get the hive.quality-monitor ZIP from the page.
- 2Unzip the skill. Extract it into ~/.claude/skills/ for personal use, or into a project's .claude/skills/ folder.
- 3Or upload in the Claude apps. Open Settings, go to Capabilities, and upload the skill under Skills.
- 4Set assessment_interval. Define the assessment_interval template variable so the agent knows how many iterations to wait between checks.
- 5Confirm the Hive conventions. Make sure your agent uses _quality_log and _working_notes.
- 6Run a multi-step task and review the log. Check _quality_log after several iterations to see the brief notes and any degradation assessments.
What is an agent skill, and what does this one make the agent do?
An agent skill is a folder containing a SKILL.md file, which gives an AI agent extra instructions it can load when relevant. This skill, hive.quality-monitor, is an internal default skill for Hive worker agents. Its single protocol is a self-check that runs every {{assessment_interval}} iterations.
- On-task: is the agent still working toward the stated objective?
- Thorough: is it cutting corners compared with earlier work?
- Non-repetitive: is it producing new value or rehashing?
- Consistent: does the latest output contradict earlier decisions?
- Complete: is it tracking all items, or has it silently dropped some?
What happens when the self-check finds a problem?
If the answers show degradation, the agent writes its assessment to _quality_log, re-reads _working_notes, and explicitly changes its approach. If the answers are acceptable, it writes a brief note to _quality_log instead.
The aim is to catch quality problems before the judge component does. The skill does not add an objective quality guarantee, because the agent is grading its own output.
How do you install the skill?
You can install the skill in either of two ways. Download the ZIP from the page, then unzip it into ~/.claude/skills/ for personal use, or into a project's .claude/skills/ folder to share it with one codebase.
Alternatively, in the Claude apps, open Settings, go to Capabilities, and upload the skill under Skills.
- Personal install: unzip into ~/.claude/skills/
- Project install: unzip into the project's .claude/skills/ folder
- Claude apps: Settings → Capabilities → Skills, then upload
How do you trigger the skill with natural requests?
The skill is written for worker agents inside the Hive framework, so it is loaded in that context rather than by a chat prompt. The source does not define a trigger phrase. Ask for it in plain terms, such as asking your Hive worker agent to self-assess quality every few iterations and log the results, and make sure the assessment_interval template variable is set.
What does the skill need to run?
The skill requires the Hive agent framework, because it relies on its _quality_log and _working_notes conventions and on the assessment_interval template variable. It runs no scripts and uses no network access.
- Hive agent framework installed and in use
- _quality_log and _working_notes conventions present
- assessment_interval template variable defined
- Files: SKILL.md only
Is it safe to run?
The skill runs no scripts and makes no network calls, according to its metadata. Its effect is limited to writing notes to _quality_log and changing the agent's approach. Review the SKILL.md file before installing, as with any skill.
What people use it for
- Long-running research agent that gathers many sources and should not drop any of them
- Multi-step code or document generation agent that might start repeating earlier sections
- Debugging a worker agent that drifts off its objective over many iterations
- Batch processing agent where silently skipped items must be caught
Frequently asked questions
How do I install the hive.quality-monitor skill?
Download the ZIP from the page and unzip it into ~/.claude/skills/ for personal use or into a project's .claude/skills/ folder. In the Claude apps, you can instead upload it under Settings → Capabilities → Skills.
Do I need the Hive agent framework to use this skill?
Yes. The skill uses Hive's _quality_log and _working_notes conventions and the assessment_interval template variable, so it is designed for Hive worker agents.
Is the Quality Self-Assessment Monitor free?
The source is licensed under Apache-2.0. The page does not state pricing for the skill, so check the license file in the repository for terms.
Does this skill guarantee output quality?
No. The agent grades its own output, so it can miss errors it cannot see. It is meant to catch degradation earlier than the separate judge component, not to replace it.
Does the skill run scripts or use the internet?
According to its metadata, it runs no scripts and uses no network access. It only has a SKILL.md file.
Is this skill useful for short single-turn chats?
Not really. The check only matters over many iterations, so for single-turn chat or short tasks the periodic overhead adds nothing.
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Our verdict
Use this skill if you are building or debugging long-running, multi-step agents in the Hive framework and want built-in self-checks against drift, repetition and dropped items. Pick something else for single-turn chat or short tasks, or if you need an objective quality check, since the agent grades its own work.
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