second-pass-grasp

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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.

AI & Automation 392 stars 34 forks Updated 1 weeks ago Apache-2.0

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Skill Content

# 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. <!-- BEGIN available-tables (generated) --> ## 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. | <!-- END available-tables (generated) -->

Details

Author
yogsoth-ai
Repository
yogsoth-ai/de-anthropocentric-research-engine
Created
6 months ago
Last Updated
1 weeks ago
Language
HTML
License
Apache-2.0

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second-pass-grasp

Full-text deep-read of a paper's Introduction, Method, and Results sections to draft the structured bundle (problem, method, key results with hedge levels, limitations), each field carrying a precise source anchor. Use this after first-pass-skim has classified the paper and drafted candidate angles — this is the main content-extraction pass of the reading pipeline.

1 Updated 1 weeks ago
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AI & Automation Featured

third-pass-deep-read

Keshav's third pass — the heaviest of the three, a full sentence-by-sentence re-read including proofs/derivations, attempting a virtual re-implementation of the paper to surface implicit assumptions and concrete improvement points. Use this after second-pass-grasp, as the terminal step of the Keshav three-pass method, whenever genuine mastery of a paper (not just a summary) is needed. This is not a skippable recap — treat "nothing new to add" as suspicious, not a default outcome.

392 Updated 1 weeks ago
yogsoth-ai
AI & Automation Listed

third-pass-deep-read

Keshav's third pass — the heaviest of the three, a full sentence-by-sentence re-read including proofs/derivations, attempting a virtual re-implementation of the paper to surface implicit assumptions and concrete improvement points. Use this after second-pass-grasp, as the terminal step of the Keshav three-pass method, whenever genuine mastery of a paper (not just a summary) is needed. This is not a skippable recap — treat "nothing new to add" as suspicious, not a default outcome.

1 Updated 1 weeks ago
yogsoth-ai