Borrowing it
Nothing to install: this file belongs to SukramJ/openccu-loom. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SukramJ/openccu-loom/main/.claude/skills/snapshot-parity/SKILL.mdgit clone --depth 1 https://github.com/SukramJ/openccu-loomWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sukramj/openccu-loom/snapshot-parity)<a href="https://agentmods.dev/skills/sukramj/openccu-loom/snapshot-parity"><img src="https://agentmods.dev/badge/skills/sukramj/openccu-loom/snapshot-parity/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sukramj/openccu-loom/snapshot-parity"><img src="https://agentmods.dev/badge/skills/sukramj/openccu-loom/snapshot-parity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00052 | $0.00489 |
| Opus 5.5 | $0.00021 | $0.00196 |
| Sonnet 5.5 | $0.00010 | $0.00098 |
| Haiku 4.5 | $0.00005 | $0.00049 |
Grade A, and why
snapshot-parity scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 27d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Cross-stack model-snapshot verification
An end-to-end regression check, not a parity mandate: it catches unintended
model regressions when both stacks load the same wire data. The common-schema
definition is notes/parity/model_snapshot_schema.md.
Both stacks run against the same godevccu release (the Python side builds the binary pinned in go.mod), so the wire data is identical by construction.
Run the three scripts in this order:
# 1. Dump OpenCCU-Loom's model against godevccu (~80k DPs, 60+ MB JSON).
go test -tags=integration -timeout=300s \
-run TestModelSnapshotDumpAgainstGodevccu ./tests/integration/...
# 2. Dump aiohomematic's model against godevccu (~8k DPs, ~8 MB JSON).
# The script builds the go.mod-pinned godevccu (needs `go` on PATH, or
# GODEVCCU_BIN) and re-execs in the aiohomematic venv when openccu_data is
# not on sys.path — without that it silently emits empty parameter labels
# and masks real drift.
python3 script/aiohomematic_snapshot.py
# 3. Per-field diff (tolerated: `profile`, `wrapped_dps`; paramsets-channel
# field excluded). Exit 0 means full intersection parity.
python3 script/model_snapshot_diff.py
OPENCCU_LOOM_SNAPSHOT_DEVICES=A,B,C scopes both sides to a smoke subset for
fast iteration; the default loads the whole embedded fleet. The two snapshot
JSONs under tests/integration/testdata/ (~70 MB) are gitignored — produced
on demand, never committed.
Reading the result
The baseline is ~270 architecturally-accepted drifts. Growth beyond that in
your area, without a matching entry in notes/parity/by_design.md, is a
regression — not something to re-baseline.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 27d ago Changed 60c69e4be199
- 2mo ago First seen · 44 lines · 52 tokens per session scan A fc55922412e4
snapshot-parity is a skill published in the GitHub repository SukramJ/openccu-loom (7 stars, last pushed yesterday), licensed Apache-2.0. It adds 52 tokens to every session and 489 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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