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EVIDENCE AND EVALUATION / Undominated.ai

Undominated · Activation Recomputation Tax Audit

Audits selective vs full gradient checkpointing memory savings vs compute FLOP taxes for long-context prefill.

“Audits selective vs full gradient checkpointing memory savings vs compute FLOP taxes for long-context prefill.”

01 / THE REASONING

Why this made the selection.

  • Pairs a bounded workflow with an offline Python checker and explicitly synthetic example inputs.
  • Created for recurring evidence and comparison failures: missing facts remain unknown and every conclusion keeps its scope.

02 / THE REVIEW RECORD

What we actually inspected.

Source review has boundaries.
A clear record is more useful than a “safe” badge.

Material inspected

  • Original definition and MIT licence
  • Bundled checker source, input contract and synthetic examples

Our findings

  • First-party resource authored by Undominated.ai; this is our own verification record, not an independent endorsement.
  • The download preserves the complete source and supporting files. Its manifest hashes identify the exact bytes.
  • The checker type-checks every declared field, recomputes only identities that match the bundled synthetic example, and does not emit a compliance or release flag.

Not established by this review

  • Model compliance with these instructions on arbitrary tasks
  • Native integration in every agent host
  • Public GitHub source identity
  • Remote installation through the standard Skills CLI
  • The new npm resource CLI installation

The review applies to the material and revision named here. A newer upstream release can change its behavior.

03 / PUT IT TO WORK

Add a skill to your workflow.

Upstream setup instructions ↗
  1. Download the complete bundle from https://undominated.ai/resources/skills/undominated-activation-recomputation-tax-audit/bundle.zip and extract it into a new directory.
  2. Place the extracted directory at .agents/skills/undominated-activation-recomputation-tax-audit/ or your host's documented skills directory. Preserve SKILL.md, scripts, examples and licence files together.
  3. Run the documented synthetic example from the skill directory with Python 3.10 or later before using your own evidence.

Before you start

  • An Agent Skills compatible host
  • Python 3.10 or later for the optional checker

THE COMPLETE REVIEWED DEFINITION

Read it before you reuse it.

Original source bytes, with attribution.
Review the host-specific setup notes above.

---
name: undominated-activation-recomputation-tax-audit
description: "Audits selective vs full gradient checkpointing memory savings vs compute FLOP taxes for long-context prefill. Recomputed fields must match the other inputs. A pass is not a compliance, safety, or price verdict."
license: MIT
metadata:
  author: Undominated.ai
  version: "1.1.0"
---

# Activation Recomputation Tax Audit

## Description
Audits selective vs full gradient checkpointing memory savings vs compute FLOP taxes for long-context prefill.

## Category
`architecture`

## Tags
`checkpointing`, `recomputation`, `vram`, `flops`, `memory`

## When to Use
Audit memory-constrained prefill configurations balancing VRAM headroom against generation latency.

## Operational Limitations
Calculates theoretical FLOP addition based on attention and MLP re-forwarding.

## Verification Script
Run the deterministic verification checker:
```bash
python3 scripts/check.py examples/synthetic.json
```
Exit codes:
- `0`: Check passed and thresholds satisfied.
- `1`: Threshold breach or operational violation detected.
- `2`: Schema error or invalid usage.

## What the checker recomputes

- `flop_tax` = 100 * recompute_flops_tflops / forward_flops_tflops, then the original `>` check against `max_allowed_flop_tax_percent`. `recompute_flops_tflops` cannot exceed `forward_flops_tflops`.

- Bound: `activation_memory_saved_gb` <= `total_vram_gb`.

Every other declared field is type-checked. A negative value is rejected except for deltas, drifts, and gains. A type check does not, by itself, prove the measurement.

`population` and `observedAt` are required. The bundled examples are synthetic fixtures, not market measurements.

```bash
python3 scripts/check.py examples/synthetic.json
python3 scripts/check.py examples/contradiction.json
python3 scripts/check.py examples/broken.json
```

Exit 0 is a pass, exit 1 is a review, and exit 2 is invalid input. A pass does not certify a provider, a regulation, a release, or a price.

The download contains SKILL.md. Extract the whole bundle; the supporting files are required. Inspect the included MANIFEST.json for file hashes.

By Undominated.ai. Exact upstream source ↗ · Licence · Attribution

SHA-256 50fe23c8da4fb85ffc3585ba18d17eeb52efd2225ae7db15b63812dc95d90241

Read the applicable licence
MIT License

Copyright (c) 2026 Undominated.ai

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

04 / FOLLOW THE EVIDENCE

The source trail.

Our notes are separate from the original resource.
Check upstream before adopting a new version.

  1. https://undominated.ai/resources/skills/undominated-activation-recomputation-tax-audit/definition.md

    Supports: Workflow and input requirements, Stated limitations

  2. MIT licence ↗Checked

    https://undominated.ai/resources/skills/undominated-activation-recomputation-tax-audit/LICENSE.txt

    Supports: Redistribution terms and attribution

  3. Complete source bundle ↗Checked

    https://undominated.ai/resources/skills/undominated-activation-recomputation-tax-audit/bundle.zip

    Supports: Full local source, supporting files and integrity manifest

Evidence & Ask