Agent skill

Critic Agent

by AMD-AGI in AMD-AGI/Hyperloom

Critic layer for the inference optimizer. An agent skill from AMD-AGI/Hyperloom.

Custom licenceAuto-check passedAI & LLM Engineering

Install Critic Agent

skills CLI
$ npx skills add AMD-AGI/Hyperloom --skill critic-agent -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AMD-AGI/Hyperloom critic-agent --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/AMD-AGI/Hyperloom.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/hyperloom/agents/critic .claude/skills/critic-agent && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
critic-agent
GitHub stars
217
Token cost
~3.5k tokens
SKILL.md length
1,547 words
Files
59 (incl. references)
Skills in repo
5
Repo updated
First seen
Licence
Custom licence

At a glance

Critic layer for the inference optimizer. An agent skill from AMD-AGI/Hyperloom.

  • Works in 6 steps: Review Orchestration and Kernel… → For dialogue-style requests, return a… → Review benchmark, accuracy, rollback,… → …
  • Conductor asks for a Critic Review verdict on Orchestration
  • SKILL.md covers Mission, Two-Phase Loop, Request Types and Review Constraints, plus 3 more sections
  • Runs Python scripts from its folder; calls python and git

What it does

Critic Agent is an agent skill from AMD-AGI/Hyperloom. Critic layer for the inference optimizer. Use when Conductor asks for a Critic Review verdict on Orchestration or Kernel proposals, conversation-driven decision review, KB recall/ingest guidance, cross-run synthesis, or Devil's advocate review signals.

Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 61 other files, including reference files (for example `README.md`, `__init__.py` and `actions/draft_kb.md`).

It sits in AI & LLM Engineering, covering Proposals and quotes. The repository describes itself as: An agentic system that auto-optimizes LLM workloads on AMD GPUs.

When your agent uses it

  • Conductor asks for a Critic Review verdict on Orchestration
  • Kernel proposals
  • Conversation-driven decision review
  • KB recall/ingest guidance

Example prompts

  • “/critic-agent”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Review Orchestration and Kernel proposals with one verdict per
  2. For dialogue-style requests, return a critic_decision_review with
  3. Review benchmark, accuracy, rollback, dispatch, and cross-layer
  4. Own KB read/write/synthesis for cross-run memory (via the runtime).
  5. Emit Devil's advocate signals as advice, never as parliament votes.
  6. Attach predicted_gain_pct to approve and redirect verdicts for

What it can do on your machine

Read from SKILL.md and the folder at commit ea621bc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Critic Agent loads about 3.5k tokens when it runs, and up to ~7.7k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 1,547 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,547 words (~3,479 tokens).

“Critic is the horizontal review and memory layer for the optimizer:”

— opening of SKILL.md by AMD-AGI, Custom licence
name
critic-agent
globs
**/critic*, **/review*, **/patch*, **/benchmark*, **/OPTIMIZATION_REPORT*, **/final_report*

Read the full SKILL.md on GitHub

Files

SKILL.md and 58 other files (references) in src/hyperloom/agents/critic of AMD-AGI/Hyperloom.

  • SKILL.md
  • .gitignore
  • README.md
  • __init__.py
  • actions/draft_kb.md
  • actions/objection_signal.md
  • actions/review_coordinator_inbox.md
  • actions/review_decision.md
  • actions/review_patch.md
  • references/coordinator_protocol.md
  • references/decision_review_schema.md
  • references/intent_envelope.md
  • references/risk_rules.md
  • references/verdict_schema.md
  • runtime/__init__.py
  • runtime/category_mapping.py
  • runtime/cli.py
  • runtime/dead_letter.py
  • … and 41 more

Open the folder on GitHubat commit ea621bc

Compare with similar skills

Critic Agent next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Critic Agent compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Critic Agent this skillAMD-AGI/Hyperloom217—~3.5kAutomated safety check: PassCustom licence
Omh Workflow Learningrlaope/oh-my-hermes3.2k—~2kAutomated safety check: PassMIT
Find Simplificationsvllm-project/vllm-omni7.1k—~2.7kAutomated safety check: PassApache-2.0
Overmind Datasetsovermind-core/overmind597—~875Automated safety check: PassAGPL-3.0
Qv Quality Reportingtetherto/qvac681—~1.6kAutomated safety check: PassApache-2.0
Account ExecutiveaAAaqwq/AGI-Super-Team1051 repos~3.4kAutomated safety check: PassMIT

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Questions about Critic Agent

What does Critic Agent do?

Critic layer for the inference optimizer. An agent skill from AMD-AGI/Hyperloom. Critic Agent is an agent skill from AMD-AGI/Hyperloom. Critic layer for the inference optimizer.

When should I use Critic Agent?

Critic Agent fits situations like: conductor asks for a Critic Review verdict on Orchestration; kernel proposals; conversation-driven decision review; KB recall/ingest guidance.

How do I install Critic Agent in Claude Code?

Run `npx skills add AMD-AGI/Hyperloom --skill critic-agent -a claude-code`. Or copy the skill folder (src/hyperloom/agents/critic in AMD-AGI/Hyperloom) into .claude/skills/critic-agent in your project. Claude Code loads it when a task matches its description.

How do I install Critic Agent in Codex?

Run `npx skills add AMD-AGI/Hyperloom --skill critic-agent -a codex`. Or copy the skill folder (src/hyperloom/agents/critic in AMD-AGI/Hyperloom) into .agents/skills/critic-agent in your project. Codex loads it when a task matches its description.

Can I use Critic Agent in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AMD-AGI/Hyperloom --skill critic-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/critic-agent, .gemini/skills/critic-agent, .github/skills/critic-agent and .opencode/skills/critic-agent in your project.

What does Critic Agent need to run?

Going by SKILL.md and its folder, Critic Agent needs Python for the scripts in its folder and the command-line tools its instructions call (python and git). Our summary lists: Python 3.

Does Critic Agent access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Critic Agent safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Critic Agent use?

Critic Agent has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Critic Agent use?

About 3.5k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.2k tokens, read only when the agent opens those files.

What are the alternatives to Critic Agent?

Skills that share tags, products or a category with Critic Agent: Omh Workflow Learning (rlaope/oh-my-hermes, 3.2k stars), Find Simplifications (vllm-project/vllm-omni, 7.1k stars), Overmind Datasets (overmind-core/overmind, 597 stars) and Qv Quality Reporting (tetherto/qvac, 681 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Critic Agent?

AMD-AGI (a GitHub organization) maintains it in AMD-AGI/Hyperloom, which has 217 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 8, 2026.

Source: AMD-AGI/Hyperloom on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.