Atlas / Skills / open-gitagent / Compute Ladder

Compute LadderSAFE

skills/open-gitagent/compute-ladder

A framework-agnostic, git-native standard for defining AI agents

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
1.0.0
Hosts
—
License
MIT
Stars
2,971
01

Overview

A framework-agnostic, git-native standard for defining AI agents

Read from source at commit 799d6d0ad18cOBSERVED · 2026-10-07
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: compute-ladder
version: 1.0.0
description: >
  Model selection by provider health, not task complexity.
  Tier 0 (local) handles most tasks. Paid models are break-glass only.
  Fallbacks activate on 429 or timeout — never on perceived task difficulty.
---

# Compute Ladder

## Tier Definitions

```
Tier 0 — Local (never dies, zero cost)
  ollama/qwen3-coder:latest    primary, MoE, 128 TPS, 64k ctx
  ollama/gpt-oss:20b           fallback, 32k ctx HARD LIMIT

Tier 1 — Fast Free Cloud (up to 2100 TPS)
  cerebras/qwen-3-235b-a22b-instruct-2507   235B MoE, fast free
  cerebras/llama3.1-8b                      8B, ultra-fast light tasks

Tier 2 — Free Cloud (normal latency)
  openrouter/z-ai/glm-4.5-air
  openrouter/qwen/qwen3-coder

Tier 3 — Free Cloud Deep Reasoning
  openrouter/nousresearch/hermes-3-llama-3.1-405b:free

Tier 4 — Break-Glass (paid, restricted use)
  openrouter/anthropic/claude-opus-4.6  [narco-check and audit ONLY]
```

## Fallback Rules

**DO fallback when:**
- HTTP 429 (rate limited)
- Connection timeout (> 90s)
- Stream death / incomplete response

**DO NOT fallback when:**
- Task seems "complex" or "important"
- You want "better" output quality
- Previous attempt gave a poor answer

Use the primary model. Iterate. Fallback is for infrastructure failure, not preference.

## Health Check

```bash
# Tier 0
curl -s localhost:11434/api/tags | python3 -c "import json,sys; d=json.load(sys.stdin); print('TIER-0 OK:', len(d['models']), 'models')"

# Tier 1
curl -s -o /dev/null -w "%{http_code}" \
  -H "Authorization: Bearer $CEREBRAS_API_KEY" \
  https://api.cerebras.ai/v1/models

# Tier 4
curl -s -o /dev/null -w "%{http_code}" \
  https://openrouter.ai/api/v1/models
```

## Cost Guard

```bash
# Check today's OpenRouter spend
curl -s "https://openrouter.ai/api/v1/auth/key" \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  | python3 -c "
import json,sys
d=json.load(sys.stdin)['data']
print(f'today: \${d[\"usage_daily\"]:.2f} | week: \${d[\"usage_weekly\"]:.2f} | month: \${d[\"usage_monthly\"]:.2f}')
"
```

Daily > $5: flag to Ludo.
Weekly > $50: flag immediately — tier-4 model is likely being over-used.
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-07 · audit v0.4.1 · source sha 799d6d0ad18cfull audit observations/trust-audit/skill/open-gitagent__compute-ladder.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-07799d6d0ad18cSAFEB89first audit
05

Questions

What does the Compute Ladder skill do?

A framework-agnostic, git-native standard for defining AI agents

Is Compute Ladder safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Compute Ladder access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (799d6d0ad18c), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.

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