What makes safety-critical-patterns notable?

1.6K downloads. Trust evidence available

How should safety-critical-patterns be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

safety-critical-patterns

Applies NASA Power of 10 rules for safety-critical verifiable code Skill: safety-critical-patterns Owner: athola Summary: Applies NASA Power of 10 rules for safety-critical verifiable code Tags: latest:1.9.19 Version history: v1.9.19 | 2026-08-26T13:19:20.827Z | user Release v1.9.19 v1.9.17 | 2026-07-30T05:39:32.617Z | user Release v1.9.17 v1.9.16 | 2026-07-14T19:56:15.650Z | user Release v1.9.16 v1.9.14 | 2026-06-30T18:04:31.432Z | user Release v1.9.14 v1.9.13 | 2026-06-27T16:22:29

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.6k

Updated

Oct 10, 2026

Version

1.9.19

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.6K downloads reported by the source. Last updated 10/10/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 10, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 10, 2026
Adoption signal: 1.6K downloadsadoption · observed Oct 10, 2026
Latest release: 1.9.19release · observed Aug 26, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17emme0e2m3cpf7k2jvp3a84984b8z9:nm-pensive-safety-critical-patterns

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-athola-nm-pensive-safety-critical-patterns/snapshot"

Documentation

CLAWHUB

66,088 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: safety-critical-patterns
description: Applies NASA Power of 10 rules for safety-critical verifiable code
version: 1.9.8
triggers:
  - safety
  - defensive-coding
  - assertions
  - NASA
  - robustness
  - verification
  - auditing financial
  - medical
  - or high-reliability system code
metadata: {"openclaw": {"homepage": "https://github.com/athola/claude-night-market/tree/master/plugins/pensive", "emoji": "\ud83e\udd9e", "requires": {"config": ["night-market.pensive:shared", "night-market.pensive:code-refinement"]}}}
source: claude-night-market
source_plugin: pensive
---

> **Night Market Skill** — ported from [claude-night-market/pensive](https://github.com/athola/claude-night-market/tree/master/plugins/pensive). For the full experience with agents, hooks, and commands, install the Claude Code plugin.


# Safety-Critical Coding Patterns

Guidelines adapted from NASA's Power of 10 rules for safety-critical software.

## When to Apply

**Full rigor**: Safety-critical systems, financial transactions, data integrity code
**Selective application**: Business logic, API handlers, core algorithms
**Light touch**: Scripts, prototypes, non-critical utilities

> "Match rigor to consequence" - The real engineering principle

## The 10 Rules (Adapted)

### 1. Restrict Control Flow
Avoid `goto`, `setjmp/longjmp`, and **limit recursion**.

**Why**: Ensures acyclic call graphs that tools can verify.
**Adaptation**: Recursion acceptable with provable termination (tail recursion, bounded depth).

### 2. Fixed Loop Bounds
All loops should have verifiable upper bounds.

```python
# Good - bound is clear
for i in range(min(len(items), MAX_ITEMS)):
    process(item)

# Risky - unbounded
while not_done:  # When does this end?
    process_next()
```

**Adaptation**: Document expected bounds; add safety limits on potentially unbounded loops.

### 3. No Dynamic Memory After Initialization
Avoid heap allocation in critical paths after startup.

**Why**: Prevents allocation failures at runtime.
**Adaptation**: Pre-allocate pools; use object reuse patterns in hot paths.

### 4. Function Length ~60 Lines
Functions should fit on one screen/page.

**Why**: Cognitive limits on comprehension remain valid.
**Adaptation**: Flexible for declarative code; strict for complex logic.

### 5. Assertion Density
Include defensive assertions documenting expectations.

```python
def transfer_funds(from_acct, to_acct, amount):
    assert from_acct != to_acct, "Cannot transfer to same account"
    assert amount > 0, "Transfer amount must be positive"
    assert from_acct.balance >= amount, "Insufficient funds"
    # ... implementation
```

**Adaptation**: Focus on boundary conditions and invariants, not arbitrary quotas.

### 6. Minimal Variable Scope
Declare variables at narrowest possible scope.

```python
# Good - scoped tightly
for item in items:
    total = calculate(item)  # Only exists in loop
    results.append(total)

# Avoid - unnecessarily broad
total = 0  # Why is this

_meta.json

{
  "ownerId": "kn7d107jg9jv602h9ytsegydq184a42s",
  "slug": "nm-pensive-safety-critical-patterns",
  "version": "1.9.19",
  "publishedAt": 1787750360827
}

skill-card.md

## Description:

Applies NASA Power of 10 rules for safety-critical verifiable code.

This skill is ready for commercial/non-commercial use.

## Publisher:

[athola](https://clawhub.ai/user/athola)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and engineers use this skill to apply a NASA Power of 10 inspired checklist when reviewing safety-critical, financial, medical, data-integrity, and other high-reliability code.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Python assert examples may be mistaken for complete runtime validation in financial or safety-sensitive code.

Mitigation: Treat assertions as internal invariant documentation and require explicit validation for untrusted input, authorization, financial rules, and safety constraints.

Risk: Broad activation triggers may apply the skill outside the intended review context.

Mitigation: Review the generated guidance before applying it and scope use to code where safety-critical or high-reliability patterns are relevant.

Risk: The security scan verdict is suspicious.

Mitigation: Review the skill carefully before installing it for financial, medical, safety-critical, production, or other high-consequence work.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/athola/skills/nm-pensive-safety-critical-patterns)
- [Publisher profile](https://clawhub.ai/user/athola)
- [Configured homepage](https://github.com/athola/claude-night-market/tree/master/plugins/pensive)

## Skill Output:

**Output Type(s):** [guidance, markdown, code, shell commands]

**Output Format:** [Markdown with checklist guidance and inline code blocks]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Advisory review guidance; users should validate recommendations against their project requirements.]

## Skill Version(s):

1.9.19 (source: server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

Github ReposUpdated 15h agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW

Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW

Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW

Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular