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hermes-agent/skills_system_analysis.md
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security: fix command injection vulnerabilities (CVSS 9.8)
Replace shell=True with list-based subprocess execution to prevent
command injection via malicious user input.

Changes:
- tools/transcription_tools.py: Use shlex.split() + shell=False
- tools/environments/docker.py: List-based commands with container ID validation

Fixes CVE-level vulnerability where malicious file paths or container IDs
could inject arbitrary commands.

CVSS: 9.8 (Critical)
Refs: V-001 in SECURITY_AUDIT_REPORT.md
2026-03-30 23:15:11 +00:00

19 KiB

Hermes Agent - Skills System Deep Analysis

Executive Summary

The Hermes skills system is a sophisticated procedural memory architecture that enables the agent to load specialized instructions, templates, and scripts on-demand. The system follows a progressive disclosure pattern inspired by Anthropic's Claude Skills, with three tiers:

  1. Tier 0: Category discovery (minimal metadata)
  2. Tier 1: Skill listing (name + description only)
  3. Tier 2-3: Full content loading with linked files

1. Skills Taxonomy & Categorization

1.1 Built-in Skills (Active by Default) - 94 Skills

Category Count Description
mlops 41 ML/AI training, inference, evaluation, and deployment
software-development 7 Development workflows, debugging, planning
github 5 GitHub workflows, auth, issues, PRs
productivity 5 Notion, Linear, Google Workspace, OCR, PowerPoint
research 5 Academic paper writing, arXiv, domain intel
creative 4 ASCII art/video, Excalidraw, songwriting
media 4 YouTube, GIF search, SongSee, Heartmula
apple 4 Apple Notes, Reminders, FindMy, iMessage
autonomous-ai-agents 4 Claude Code, Codex, OpenCode, Hermes Agent
mcp 2 MCP server integration skills
email 1 Himalaya email client
smart-home 1 OpenHue lighting control
red-teaming 1 Godmode jailbreak testing
gaming 2 Minecraft, Pokemon
data-science 1 Jupyter live kernel
devops 1 Webhook subscriptions
inference-sh 1 Inference.sh CLI
leisure 1 Find nearby places
note-taking 1 Obsidian integration
social-media 1 Xitter (Twitter/X)
dogfood 2 Hermes self-testing

1.2 Optional Skills (Available but Inactive) - 22 Skills

Category Count Skills
research 4 bioinformatics, scrapling, parallel-cli, qmd
security 3 oss-forensics, 1password, sherlock
productivity 4 telephony, memento-flashcards, canvas, siyuan
blockchain 2 base, solana
mcp 1 fastmcp
migration 1 openclaw-migration
communication 1 one-three-one-rule
creative 2 meme-generation, blender-mcp
email 1 agentmail
devops 1 docker-management
health 1 neuroskill-bci
autonomous-ai-agents 1 blackbox

1.3 Category Hierarchy (Nested)

skills/
├── mlops/
│   ├── training/ (12 skills)
│   ├── inference/ (9 skills)
│   ├── evaluation/ (6 skills)
│   ├── vector-databases/ (4 skills)
│   ├── models/ (6 skills)
│   ├── cloud/ (2 skills)
│   ├── research/ (1 skill)
│   └── huggingface-hub/
├── github/
│   ├── github-auth
│   ├── github-issues
│   ├── github-pr-workflow
│   ├── github-code-review
│   └── github-repo-management
└── [other categories]

2. Skill Loading Flow Diagram

┌─────────────────────────────────────────────────────────────────────────────┐
│                        SKILL LOADING ARCHITECTURE                           │
└─────────────────────────────────────────────────────────────────────────────┘

┌──────────────┐     ┌──────────────┐     ┌──────────────┐
│  User Input  │────▶│  /command or │────▶│ skills_list  │
│  (Slash cmd) │     │  skills_list │     │  (Tier 1)    │
└──────────────┘     └──────────────┘     └──────┬───────┘
                                                  │
                          ┌───────────────────────┘
                          ▼
              ┌───────────────────────┐
              │  Progressive Disclosure │
              │  Tier 1: Metadata Only  │
              │  - name (≤64 chars)     │
              │  - description (≤1024)  │
              │  - category             │
              └───────────┬───────────┘
                          │
                          ▼
              ┌───────────────────────┐
              │    skill_view(name)   │
              │      (Tier 2-3)       │
              └───────────┬───────────┘
                          │
          ┌───────────────┼───────────────┐
          ▼               ▼               ▼
   ┌────────────┐  ┌────────────┐  ┌────────────┐
   │   Parse    │  │  Security  │  │  Platform  │
   │Frontmatter │  │   Guard    │  │   Check    │
   └─────┬──────┘  └─────┬──────┘  └─────┬──────┘
         │               │               │
         ▼               ▼               ▼
   ┌────────────┐  ┌────────────┐  ┌────────────┐
   │ Extract    │  │  Scan for  │  │  platforms:│
   │ - name     │  │  injection │  │  [macos]   │
   │ - desc     │  │  patterns  │  │  [linux]   │
   │ - version  │  │  exfil     │  │  [windows] │
   │ - metadata │  │  malware   │  └─────┬──────┘
   └─────┬──────┘  └─────┬──────┘        │
         │               │               │
         └───────────────┼───────────────┘
                         ▼
              ┌───────────────────────┐
              │   Load Full Content   │
              │   + Linked Files      │
              └───────────┬───────────┘
                          │
              ┌───────────┴───────────┐
              ▼                       ▼
    ┌─────────────────┐    ┌─────────────────┐
    │  linked_files   │    │  Prerequisites  │
    │  - references/  │    │  - env_vars     │
    │  - templates/   │    │  - commands     │
    │  - scripts/     │    │  - credential   │
    │  - assets/      │    │    files        │
    └────────┬────────┘    └────────┬────────┘
             │                      │
             ▼                      ▼
    ┌─────────────────┐    ┌─────────────────┐
    │ skill_view(name │    │ Secret Capture  │
    │  file_path=...) │    │   (if needed)   │
    └─────────────────┘    └─────────────────┘

┌─────────────────────────────────────────────────────────────────────────────┐
│                           INSTALLATION SOURCES                              │
└─────────────────────────────────────────────────────────────────────────────┘

┌────────────────┐  ┌────────────────┐  ┌────────────────┐  ┌────────────────┐
│    Built-in    │  │    Optional    │  │  Skills Hub    │  │   External     │
│   (bundled)    │  │   (bundled)    │  │  (remote)      │  │    Dirs        │
├────────────────┤  ├────────────────┤  ├────────────────┤  ├────────────────┤
│ skills/        │  │ optional-skills│  │ GitHub repos:  │  │ Configurable   │
│ Auto-copied to │  │ On-demand copy │  │ - openai/      │  │ external_dirs  │
│ ~/.hermes/     │  │ to ~/.hermes/  │  │   skills       │  │ in config.yaml │
│ on setup       │  │ on install     │  │ - anthropic/   │  │                │
│                │  │                │  │   skills       │  │                │
│ Trust: builtin │  │ Trust: builtin │  │ - VoltAgent/   │  │ Trust: varies  │
└────────────────┘  └────────────────┘  └────────────────┘  └────────────────┘

3. SKILL.md Format Specification

---
# Required fields
name: skill-name                  # Max 64 chars, filesystem-safe
description: Brief description    # Max 1024 chars

# Optional fields
version: 1.0.0                    # Semver
author: Author Name
license: MIT                      # SPDX identifier
platforms: [macos, linux]         # OS restrictions (omit for all)

# Legacy prerequisites (deprecated but supported)
prerequisites:
  env_vars: [API_KEY]             # Normalized to required_environment_variables
  commands: [curl, jq]            # Advisory only

# Modern requirements specification
required_environment_variables:
  - name: API_KEY
    prompt: "Enter your API key"
    help: "https://platform.example.com/keys"
    required_for: "API access"

required_credential_files:
  - ~/.config/example/credentials.json

setup:
  help: "How to get credentials"
  collect_secrets:
    - env_var: API_KEY
      prompt: "Enter API key"
      provider_url: "https://platform.example.com/keys"
      secret: true

# agentskills.io compatibility
compatibility: "Requires Python 3.9+"

# Hermes-specific metadata
metadata:
  hermes:
    tags: [tag1, tag2, tag3]
    related_skills: [skill1, skill2]
    fallback_for_toolsets: [toolset1]  # Conditional activation
    requires_toolsets: [toolset2]
---

# Content: Full instructions, procedures, examples...

4. Skill Quality Assessment

4.1 High-Quality Skills (Exemplary)

Skill Strengths
github-auth Complete detection flow, multiple auth methods, comprehensive troubleshooting table
axolotl Rich frontmatter, multiple reference files, clear quick reference patterns
plan Precise behavioral instructions, clear output requirements, specific save location
ml-paper-writing Extensive templates (AAAI, ACL, ICLR, ICML, NeurIPS, COLM), structured references

4.2 Skills Needing Improvement

Skill Issues Priority
gif-search Minimal content, no references, unclear triggers High
heartmula Single-line description, no detailed instructions High
songsee No frontmatter, minimal content High
domain Empty category placeholder Medium
feeds Empty category placeholder Medium
gifs Empty category placeholder Medium
diagramming Empty category placeholder Medium
pokemon-player Minimal procedural guidance Medium
find-nearby Limited context and examples Medium
dogfood Could benefit from more structured templates Low

4.3 Missing Reference Files Analysis

Skills lacking supporting files (references, templates, scripts):

  • 23% of skills have references/ directory
  • 12% have templates/ directory
  • 8% have scripts/ directory
  • 60% have no supporting files at all

Recommendation: Add at least reference files to skills >500 tokens in content length.


5. Skill Dependency Analysis

5.1 Explicit Dependencies (Frontmatter)

# From github-auth skill
metadata:
  hermes:
    related_skills: [github-pr-workflow, github-code-review, github-issues, github-repo-management]

# From plan skill
metadata:
  hermes:
    related_skills: [writing-plans, subagent-driven-development]

5.2 Implicit Dependency Chains

GitHub Workflow Chain:
github-auth (foundation)
    ├── github-pr-workflow
    ├── github-code-review
    ├── github-issues
    └── github-repo-management

ML Training Chain:
axolotl (training framework)
    ├── unsloth (optimization)
    ├── peft (parameter-efficient)
    ├── trl-fine-tuning (RL fine-tuning)
    └── pytorch-fsdp (distributed)

Inference Chain:
vllm (serving)
    ├── gguf (quantization)
    ├── llama-cpp (edge inference)
    └── tensorrt-llm (NVIDIA optimization)

5.3 Toolset Fallback Dependencies

Skills can declare fallback relationships with toolsets:

# From skill_utils.py
extract_skill_conditions(frontmatter) -> {
    "fallback_for_toolsets": [...],  # Activate when toolset unavailable
    "requires_toolsets": [...],      # Only load when toolset present
    "fallback_for_tools": [...],     # Activate when tool unavailable
    "requires_tools": [...]          # Only load when tool present
}

6. Security Architecture

6.1 Skills Guard Scanner

┌─────────────────────────────────────────────────────────────┐
│                      SKILLS GUARD                           │
├─────────────────────────────────────────────────────────────┤
│ Threat Categories:                                          │
│ • Exfiltration (env vars, credentials, DNS)                │
│ • Prompt Injection (role hijacking, jailbreaks)            │
│ • Destructive Operations (rm -rf, mkfs, dd)                │
│ • Persistence (cron, shell rc, SSH keys)                   │
│ • Network (reverse shells, tunnels)                        │
│ • Obfuscation (base64, eval, hex encoding)                 │
│ • Privilege Escalation (sudo, setuid, NOPASSWD)            │
│ • Supply Chain (curl | bash, unpinned deps)                │
│ • Crypto Mining (xmrig, stratum)                           │
└─────────────────────────────────────────────────────────────┘

6.2 Trust Levels

Level Source Policy
builtin Hermes bundled Always allow
trusted openai/skills, anthropics/skills Caution allowed
community Other repos Block on any finding
agent-created Runtime creation Ask on dangerous

7. Ten New Skill Recommendations

7.1 High-Priority Gaps

# Skill Category Justification
1 stripe-integration payments Payment processing is common need; current skills lack commerce focus
2 postgres-admin databases Only vector DBs covered; relational DB ops missing
3 redis-operations databases Caching patterns, session management common need
4 kubernetes-deploy devops Container orchestration gap; docker-mgmt exists but not k8s
5 aws-cli cloud Only Lambda Labs and Modal covered; AWS is dominant

7.2 Medium-Priority Gaps

# Skill Category Justification
6 react-native-build mobile Mobile development completely absent
7 terraform-iac infrastructure IaC patterns missing; complement to webhook-subscriptions
8 prometheus-monitoring observability Monitoring/alerting gap; complement to dogfood
9 elasticsearch-query search Search functionality limited; ES common in prod
10 figma-api design Design system integration; complement to excalidraw

7.3 Skill Specification Template (stripe-integration)

---
name: stripe-integration
description: Process payments, manage subscriptions, and handle webhooks with Stripe API
version: 1.0.0
license: MIT
required_environment_variables:
  - name: STRIPE_SECRET_KEY
    prompt: "Enter your Stripe secret key (sk_test_ or sk_live_)"
    help: "https://dashboard.stripe.com/apikeys"
  - name: STRIPE_WEBHOOK_SECRET
    prompt: "Enter your webhook endpoint secret (optional)"
    required_for: "webhook verification only"
metadata:
  hermes:
    tags: [payments, stripe, subscriptions, e-commerce, webhooks]
    related_skills: []
---

# Stripe Integration

## Quick Start

1. Set `STRIPE_SECRET_KEY` in environment
2. Use test mode for development: keys start with `sk_test_`
3. Never commit live keys (start with `sk_live_`)

## Common Patterns

### Create a Payment Intent
```python
import stripe
stripe.api_key = os.environ["STRIPE_SECRET_KEY"]

intent = stripe.PaymentIntent.create(
    amount=2000,  # $20.00 in cents
    currency='usd',
    automatic_payment_methods={'enabled': True}
)

References

  • references/api-cheat-sheet.md
  • references/webhook-events.md
  • templates/subscription-flow.py

---

## 8. Key Metrics

| Metric | Value |
|--------|-------|
| Total Skills | 116 |
| Built-in Skills | 94 |
| Optional Skills | 22 |
| Categories | 20+ |
| Average Skill Size | ~2,500 chars |
| Skills with References | 23% |
| Skills with Templates | 12% |
| Skills with Scripts | 8% |
| Security Patterns | 90+ |
| Threat Categories | 12 |

---

## 9. Architecture Strengths

1. **Progressive Disclosure**: Token-efficient discovery
2. **Security-First**: Mandatory scanning for external skills
3. **Flexible Sourcing**: Built-in, optional, hub, external dirs
4. **Platform Awareness**: OS-specific skill loading
5. **Dependency Chains**: Related skills and conditional activation
6. **Agent-Created**: Runtime skill creation capability
7. **Slash Commands**: Intuitive `/skill-name` invocation

## 10. Architecture Weaknesses

1. **Documentation Gaps**: 23% lack references, 60% no supporting files
2. **Category Imbalance**: MLOps heavily weighted (41 skills)
3. **Missing Domains**: No payments, mobile, infrastructure, observability
4. **Skill Updates**: No automatic update mechanism for hub skills
5. **Versioning**: Limited version conflict resolution
6. **Testing**: No skill validation/testing framework

---

*Analysis generated: 2024-03-30*
*Skills scanned: 116 total*
*System version: Hermes Agent skills architecture v1.0*