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Get Started Free →majiayu000/continuity-kernel
OpenClaw continuity kernel for fail-open llm_input injection, deterministic runtime contracts, and shadow-mode eval receipts.
Passed 21 of 21 test cases with the skill, and 5 of 21 without it.
and 20 more in the full report
17 fixed5 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 16 test cases the skill fixed. Same model, same prompt, with and without the skill.
If I run the shadow eval CLI tool without specifying the --runs option, how many evaluation runs will it execute by default?
| Checked | Without skill | With skill |
|---|---|---|
| The response specifies 100 | Missed | Passed |
The instructions your model reads when the skill loads.
Use this skill when the user wants to:
llm_input without manual configuration# Run full test suite
python3 -m unittest discover -s tests/continuity-kernel -p 'test_*.py'
# Generate deterministic runtime contract proof artifact
python3 skills/continuity-kernel/generate_runtime_contract_proof.py
# SC-02 core-shadow gate (trace optional, synthetic allowed for this suite)
python3 skills/continuity-kernel/run_shadow_eval.py --layer 'Soul Card' --chunk 'SC-02' --suite core-shadow --runs 100 --append artifacts/continuity-kernel/p0-evals.json
# SC-02 perturb robustness gate (trace-backed, deterministic selector + size_only)
python3 skills/continuity-kernel/run_shadow_eval.py --layer 'Soul Card' --chunk 'SC-02' --suite memoryarena-mini-perturb --perturb-profile deletion --selector-mode deterministic --compaction-policy size_only --runs 100 --trace-jsonl tests/continuity-kernel/fixtures/shadow_eval_trace_memoryarena_mini_perturb.jsonl --append artifacts/continuity-kernel/p0-evals.json
# SC-02 perturb robustness gate (trace-backed, dual-route + attention-preserving)
python3 skills/continuity-kernel/run_shadow_eval.py --layer 'Soul Card' --chunk 'SC-02' --suite memoryarena-mini-perturb --perturb-profile deletion --selector-mode dual_route_experimental --compaction-policy attention_preserving_experimental --runs 100 --trace-jsonl tests/continuity-kernel/fixtures/shadow_eval_trace_memoryarena_mini_perturb.jsonl --append artifacts/continuity-kernel/p0-evals.json
run_shadow_eval.py options:
--layer TEXT — Active P0 layer name--chunk TEXT — Active chunk id/name--suite core-shadow|memoryarena-mini|memoryarena-mini-perturb — Task suite for eval scoring--perturb-profile none|deletion|noise_injection|reorder — Deterministic perturb profile for memoryarena-mini-perturb--selector-mode deterministic|dual_route_experimental — Selector mode tag for A/B eval receipts--compaction-policy size_only|attention_preserving_experimental — Compaction policy label for dropped-field A/B eval comparison--runs N — Number of evaluated shadow runs (default: 100)--trace-jsonl PATH — JSONL file containing observed shadow outcomes (repeatable)--trace-dir PATH — Directory scanned for *.jsonl observed shadow outcomes (repeatable)test cases passed, vs 5 / 21 without
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