Paleo

REVIEW · 67
Community indexed

🦴 paleo — token-saving skills for LLM agents: compress output, trim context, cap budget (Claude Code / Codex / Gemini / Hermes)

Downloads0
Stars18
Version1.0.0
Quality71/100 · Strong
Trust67/100 · Sandbox only
Audit81/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add mocasus/paleo

Maintenance

fresh

2d since push

Risk

Needs review

Low GitHub adoption signal

GitHub quality

18

71/100 quality · 75/100 trust

Coverage tags

CodingGitHub automationutilitytoken-savingLLM-agents

Review notes

Low GitHub adoption signal · Quality score needs review

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Strong
71

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
67

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
81

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

PythonCodexClaude CodeCursorOpenAgentSkill CLI

Stars

18 GitHub stars

Repo activity

18 stars, 0 forks

Maintenance

2d since push

License

MIT

Install

npx skills add mocasus/paleo

Install safety

standard package or runtime install path

Permission surface

secrets or environment access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 18 GitHub stars
  • Stars/forks activity: 18 stars, 0 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Suited agents

PythonCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add mocasus/paleo
Policy
review
Human review
yes

Trust and risk

Trust
67/100
Audit
81/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add mocasus/paleo

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet
  • High-risk permission hints: Secrets or environment access

Agent safety v2

57/100 · Review before install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

high

Secrets or environment access

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

  • High-risk permission hints: Secrets or environment access
  • Low GitHub adoption signal

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add mocasus/paleo

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Paleo in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Paleo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/mocasus-paleo/install
Install command: npx skills add mocasus/paleo
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use Paleo for this task. Review https://www.openagentskill.com/api/skills/mocasus-paleo/install, then install with: npx skills add mocasus/paleo

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

70/100

GitHub automation

Platforms

Python, Claude Code

Audit report

Needs review · 81/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for GitHub automation

Prototype with this skill first; keep a fallback candidate ready.

70
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

GitHub automation

Trust label

Prototype first

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 71/100 quality profile

Review first

  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

67
Trust score

GitHub adoption

FIX

18 GitHub stars

Stars/forks activity

FIX

18 stars, 0 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 18 GitHub stars
  • Stars/forks activity: 18 stars, 0 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

71
GitHub stars
18
Freshness
2d ago
Install ready
Yes
License
MIT
Check before install: Low GitHub adoption signal

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

Overview

<div align="center">

![paleo logo](assets/logo.jpg)

[![Version](https://img.shields.io/badge/version-2.5.0-blue)](https://github.com/mocasus/paleo/releases) · [![Benchmark](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/mocasus/paleo/main/bench/badge.json)](https://github.com/mocasus/paleo/blob/main/BENCHMARK.md) · [![License](https://img.shields.io/badge/license-MIT-green)](LICENSE) · [![Python](https://img.shields.io/badge/python-3.9%2B-blue)](https://www.python.org) · [![Status](https://img.shields.io/badge/status-active-brightgreen)](https://github.com/mocasus/paleo) · [![Benchmarks](https://img.shields.io/badge/benchmarks-reproducible-orange)](BENCHMARK.md) · [![Agents](https://img.shields.io/badge/agents-40%2B-lightgrey)](https://agentskills.io)

# 🦴 paleo

> Token-saving skills for LLM agents — cut output & context tokens without choking the model.

[Why](#why-paleo) · [See it](#see-it-before--after) · [Features](#features) · [Skills](#skills) · [Combos](#recommended-combos) · [Quick Start](#quick-start) · [Benchmarks](#benchmarks) · [Comparison](#comparison) · [Tips](#tips--triggers) · [Install](#installation)

</div>

## Why paleo?

- **Tokens cost money and latency.** Every trimmed token means faster, cheaper inference. - **One-size-fits-all prompting fails.** Sometimes you want terse output, sometimes a hard budget, sometimes just no fluff. paleo gives each as a separate, well-scoped skill. - **Skills stay minimal.** Every `SKILL.md` is written terse on purpose — loading one costs less context than a long prompt.

## See it (Before / After)

paleo compresses *delivery*, not meaning. Code, commands, and technical terms stay byte-exact.

| Normal agent | 🦴 paleo | |---|---| | "The re-render happens because you create a new object literal on every render. That inline object is a fresh reference each time, so React sees a changed prop and re-renders. Wrap it in `useMemo` to keep a stable reference." | "New object each render → new r

Platform Compatibility

pythonFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
7/25/2026
Published
7/25/2026

Frameworks & Tools

Python

Decision snapshot

Fallback candidate

70
Ready
Prototype
Stage

recent repository activity

Audit snapshot

Install review

Install and adoption review

81
Needs review
Security
84/100
Maintenance
100/100
Install
92/100
Open full auditOpen eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Growth loop

Share kit

X

Scenario-led draft for Paleo, ready for a manual X post.

Curator note
The best agent skills feel small at first, then remove a task your agent used to improvise.

Paleo: A collection of token-saving skills for LLM agents to compress output, trim context, and cap budget.

18 stars

https://www.openagentskill.com/skills/mocasus-paleo?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Paleo:
https://www.openagentskill.com/skills/mocasus-paleo?ref=x

Install: npx skills add mocasus/paleo

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
mocasus
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to mocasus but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/mocasus-paleo?metric=listed&label=Listed)](https://www.openagentskill.com/skills/mocasus-paleo)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/mocasus-paleo?metric=trust&label=Trust)](https://www.openagentskill.com/skills/mocasus-paleo)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/mocasus-paleo?metric=audit&label=Audit)](https://www.openagentskill.com/skills/mocasus-paleo/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/mocasus-paleo?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/mocasus-paleo)

Author

M

mocasus

@mocasus

Platform Fit

Health Signals

GitHub stars
18
Quality score
44/100
Last GitHub push
Jul 25, 2026
Framework hints
1
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Sandbox only

67
  • GitHub adoption18 GitHub starsFIX
  • Stars/forks activity18 stars, 0 forks; issue activity unavailable in current metadataFIX
  • Recent maintenance2d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcredential or environment accessINFO