keshav-three-pass SKILL.md skillA

keshav-three-pass from yogsoth-ai/de-anthropocentric-research-engine is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add yogsoth-ai/de-anthropocentric-research-engine/keshav-three-pass@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
yogsoth-ai/de-anthropocentric-research-engine
Path
paper-reading/skills/keshav-three-pass/SKILL.md
Versions recorded
3
Latest version
v1.0.0, committed Sep 16, 2026
First version recorded
Aug 8, 2026
Size
2,103 bytes
Repository stars
508
License
Apache-2.0

Tactic: Read one paper by Keshav''s three-pass method — a shallow skim, a contribution-grasping full read, then a deep virtual re-implementation. Use when the goal is understanding a paper rather than extracting a fixed schema.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Keshav Three-Pass

Read one paper in three passes of increasing depth. The outputs accumulate as
prose rather than fixed fields; use a different tactic when cross-paper
alignment matters more than understanding.

## Orchestration Pattern

1. Call `paper-fetch` with `paper_ref`. Stop on `not_found`. Create
   `context/papers/<dir>/keshav-three-pass/` on success.
2. Call `first-pass-skim` with `source_path` and `meta_path`. Write
   `01-first-pass-skim.md`, recording `read_deeper` in frontmatter.
3. If `read_deeper` is false, stop by default. Continue only on explicit
   caller override and record `gate_overridden: true`.
4. Call `second-pass-grasp` with the paths and `skim_notes`; write
   `02-second-pass-grasp.md`.
5. Call `third-pass-deep-read` with the paths and `grasp_summary`; write
   `03-third-pass-deep-read.md`.

Do not collapse pass 3 into a recap of pass 2. It must surface implicit
assumptions, virtual re-implementation mismatches, and concrete improvements.

## Output Layout

```text
context/papers/<timestamp>-<title-slug>/
  source.md
  source.meta.json
  keshav-three-pass/
    01-first-pass-skim.md
    02-second-pass-grasp.md
    03-third-pass-deep-read.md
```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add yogsoth-ai/de-anthropocentric-research-engine/keshav-three-pass@sha256:682a039743dd106e

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_n74zam6ixui53uz2.svg)](https://markdownregistry.com/a/art_n74zam6ixui53uz2)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Aug 8, 2026 and Sep 16, 2026, about one every 20 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-09-16 f5399c9 2,103 BA view · diff
v1.0.02026-08-08 73524ab 2,076 BA view · diff
v1.0.02026-08-08 9f5203a 2,050 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (2103 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

yogsoth-ai/de-anthropocentric-research-engine · 508 stars · license Apache-2.0 · pushed 2026-10-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_n74zam6ixui53uz2
GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/keshav-three-pass
GET https://markdownregistry.com/api/v1/blob/682a039743dd106e6c82ac0dd4e62f15a347849b9dd9ed927a18c17f644d1838

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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