Sigil: Research Evidence Harness
SkillMonitoring & opsUse when: converting research protocols into validated run schemas, JSONL fixture checks, objective/metric calculations, result summaries, and claim-adjudication readiness without running or overclaiming live experiments.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Sigil: Research Evidence Harness skill
What this skill tells your AI
The instructions your AI receives, as published by cyberalchemyai/arcanum in arcana/research-evidence-harness/SKILL.md and read by ahel’s review.
- a research project has claims, protocols, experiment bundles, or a paper contract, but lacks executable evidence mechanics;
- dry-run fixtures must prove data shape before live runs;
- JSONL run data needs schema and metadata validation;
- objective vectors, scoring policies, reviewer rubrics, or analysis summaries must be checked before evidence status changes;
- MARS-style research pipeline assets are being adapted locally.
- the task is source understanding, notation translation, local glossary, or
bridge decisions; use
research-tower; - the task is generic spell/sigil prompt validation; use
experiment-harness; - the task is broad planning with no approved work unit; use
refineandinvoke; - the user wants live experiment execution before dry-run validation has passed.
- research project root;
- selected experiment or SWU;
- protocols and methodology profiles;
- required common run fields;
- metric and success-criteria definitions;
- source/context requirements;
- write scope;
- validation command or review surface;
- evidence-status guardrails.
- preserve the selected write scope;
- create project-local evidence mechanics rather than mutating canonical Arcanum contracts;
- validate at least one passing and one failing fixture for schema work;
- reject missing run metadata, objective vectors, policy regimes, and malformed metric fields when applicable;
- distinguish dry-run fixture evidence from live experiment evidence;
- keep claim/evidence status unchanged unless a later approved analysis task supports an update;
- record validation commands or reviewable evidence;
- leave the next SWU or blocker explicit.
- treating a planned protocol as empirical support;
- upgrading paper claims from synthetic fixture data;
- copying MARS project-specific fields into unrelated projects unchanged;
- hiding protocol deviations;
- mixing source discovery, learning tower, and run-data validation in one artifact;
- mutating
experiment-harness,research-tower, or paper contracts without a separate governed route.
## Research Evidence Harness Result
- Target: <research project>
- Selected unit: <experiment | task | SWU>
- Mode: dry-run | validate | summarize | mixed
- Status: pass | flag | block
- Schema: <path or none>
- Validator: <path or none>
- Fixtures: <paths or none>
- Metrics: <paths or none>
- Result summary: <path or none>
- Evidence-status boundary: preserved | updated-by-approved-live-analysis | block
- Validation: <commands or review evidence>
- Remaining blockers: <items or none>
- Next route: task-session | codex-goal-profile | publication-research-pipeline | deferred
Signals
- GitHub stars
- 25
- Forks
- 3
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
research-evidence-harness- Source
- github.com/cyberalchemyai/arcanum