| name | second-pass-grasp |
| description | Keshav's second pass — a careful full read (ignoring proof/derivation detail) producing prose-level understanding sufficient to explain the paper's main contribution and evidence to a colleague. Use this after first-pass-skim, as the main content-grasping pass of the Keshav three-pass method; do not force its output into a structured data schema. |
| version | 1.0.0 |
| category | paper-reading |
| type | sop |
| execution | subagent |
| prompt | ./prompt.md |
| input | source_path (string), meta_path (string), skim_notes (string) |
| reads | full paper body; skips proofs and derivations by instruction, not by omission |
| output | grasp_summary (string) |
| dependencies | {"sops":["spawn-agent"]} |
Second Pass Grasp
Keshav's second pass: full read, proofs/derivations deferred, output is accumulated prose understanding (not a structured artifact — this is the one method in this package's whole method set that deliberately does not produce a persisted structured object).
Execution
Subagent — spawned via spawn-agent skill.
Why Subagent
Full-text reading toward a genuine "could explain this to a colleague" understanding benefits from an uninterrupted context, distinct from the shallow first pass and the exhaustive third pass.
Do not port v1's bundle schema here
An earlier version of this package (staged/wechat-article-v1/skills/second-pass-grasp/) produced a draft_bundle + uncertain_fields structure for its own WeChat-article pipeline. That was correct for v1's purpose but is NOT Keshav's original second pass — this v2 SOP's output is prose, per the graph's explicit correction (context/2026-08-07-13-42-sop-pipeline-graph.html, node second-pass-grasp, "S2修订"). Do not reintroduce the bundle schema here.
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. |
