abzu-report
Create a concise evidence-linked ThinkReader paper report with original figures and explicit boundaries.
Skill by zhangzejing
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/zhangzejing-abzu-report
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/abzu-report
What's inside
- Skill name
abzu-report- Description
- Create a concise evidence-linked ThinkReader paper report with original figures and explicit boundaries. Use for /report only.
- License
- MIT
- Instructions
- 33 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: "abzu-report" does not match folder "report-skill"
Files (7)
- SKILL.md
- quality.json · data/
- base.md · prompts/
- flash.md · prompts/
- pro.md · prompts/
- rules.md
- tools.md
SKILL.md (first lines)
# ThinkReader Report Skill `/report` produces the lightest research artifact: a short, continuous explanation that lets a peer understand the paper's idea, evidence and limits in a few minutes. It is derived output, never Reader truth. ## Required reading order 1. Read `prompts/base.md`. 2. Read `prompts/flash.md` for a fast report, `prompts/pro.md` for deep mechanism/evidence analysis, or both when mode is automatic. 3. Read `rules.md`, `tools.md`, `writer.md` and `data/quality.json`. 4. Read the App-provided report context, PaperMap and relevant full sections before writing. ## File ownership - `prompts/base.md` owns synthesis and prose quality. - mode prompts own only depth differences. - `rules.md` owns report shape, evidence, figures, language and formulas. - `tools.md` owns assumed context, evidence, figure, validation and output capabilities. - `data/quality.json` owns deterministic quality floors. - `writer.md` owns proposal, validation and commit flow. ## Non-negotiable method - Explain the causal story, not the table of contents and not a rewritten abstract. - Follow important methods, equations, figures and experiments through their complete section context. - Cite only labels and numeric claims that resolve to current evidence. - Let the LLM decide which evidence matters and write the report; use tools for exact extraction, figure staging, deep links, file assembly and validation. - Make uncertainty and missing evidence visible rather than filling gaps. ## Boundaries Write only through controlled output tools under `output/report/<paper_id>/`. Existing annotations are optional, not a prerequisite. After commit the App first appends the `report` tag to an existing annotation covering the cited evidence; preserve its content, author, marks, hints, replies and layout. Keep uncovered evidence in the report citations; do not create PDF cards for evidence bookkeeping. Repeated runs must not multiply cards or tags; matching and tag writes are tool work, not extra LLM output. Never modify `RAW/` or Intelligence. Do not restore legacy context JSON, cleaner output, HTML Reader or public CLI flows.
From zhangzejing/ThinkReader, MIT.
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abzu-wiki
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Build or update an evidence-grounded ThinkReader paper page and deduplicated shared knowledge graph.
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abzu-codebase
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Project an ThinkReader paper into an auditable reproduction specification and acceptance target.
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abzu-mindmap
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Build an evidence-linked reasoning map rather than a table-of-contents mind map.
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thinkreader-summary
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Create a fixed four-part paper summary whose claims link back to precise PDF evidence.
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Signals
- Stars
- 41
- Forks
- 2
- Open issues
- 0
- Last commit (this folder)
- Oct 6, 2026 (24 days ago)
- Last release
- Oct 18, 2026 (11 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/zhangzejing/ThinkReader
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from zhangzejing
- 0.653score
audit-skill
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Contribute an independent researcher's perspective in annotation replies, and check and refine existing ThinkReader outputs.
SkillAFreshness: A★ 41Claude Code +9 - 0.652score
thinkreader-annotation
zhangzejing
Create grounded PDF annotations when the user asks to annotate a paper or passage.
SkillAFreshness: A★ 41Claude Code +9 - 0.649score
abzu-wiki
zhangzejing
Build or update an evidence-grounded ThinkReader paper page and deduplicated shared knowledge graph.
SkillAFreshness: A★ 41Claude Code +9 - 0.649score
abzu-codebase
zhangzejing
Project an ThinkReader paper into an auditable reproduction specification and acceptance target.
SkillAFreshness: A★ 41Claude Code +9 - 0.646score
abzu-mindmap
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Build an evidence-linked reasoning map rather than a table-of-contents mind map.
SkillAFreshness: A★ 41Claude Code +9 - 0.646score
thinkreader-summary
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Create a fixed four-part paper summary whose claims link back to precise PDF evidence.
SkillAFreshness: A★ 41Claude Code +9
Cite this page
abzu-report skill. Agent Mart. https://agentmart.dev/skills/zhangzejing-abzu-report (last updated 2026-10-24)