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Execute a Research Spec step by step, respecting context protocol, deviation limits, and backtrack rules. Supports multi-session recovery.
Passed 16 of 20 test cases with the skill, and 9 of 20 without it.
and 5 more in the full report
8 fixed10 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are starting Stage 1 of the spec for topic `quantum-routing` on 2026-08-10 at 14:30. What exact filename format should be passed when initializing context logging?
| Checked | Without skill | With skill |
|---|---|---|
| Uses the filename format string formatted as 2026-08-10-14-30-quantum-routing. | Missed | Passed |
The instructions your model reads when the skill loads.
You are executing a Research Spec produced by writing-specs. Your job is to follow the spec stage by stage, invoking the named campaigns and strategies, while strictly respecting the context protocol and execution rules.
The user provides a path to a spec file (e.g., docs/de-anthropocentric/specs/2026-05-20-topic-spec.md). Read it in full before starting.
Before executing, scan the spec for:
If concerns exist, present them to the user before proceeding. Do NOT silently start execution with known issues.
For each Stage in the spec (in order):
Read the context files referenced in "Expected Input". If they don't exist or are incomplete, STOP and ask the user.
Invoke context-init. CC names the file: YYYY-MM-DD-HH-MM-<topic-slug>
For each strategy listed in "Execution Steps":
context-checkpointAfter all strategies in the Stage complete, invoke one final context-checkpoint as a safety net.
Check whether the Stage's completion criteria are met:
[x] in the spec file, proceed to next Stagetest cases passed, vs 9 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.