Llmwiki
atomicstrata/llm-wiki-compiler
Build and use a persistent, citation-traceable knowledge wiki from documents, research papers, notes, or project documentation.
Verifiable-attribution and citation-discipline craft — atomic claim decomposition, evidence grading (primary/analysis/forecast tiers), claimant attribution, citation typing…
$ npx skills add alfadur7/llm-wiki-newsroom --skill scholarly-citation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install alfadur7/llm-wiki-newsroom scholarly-citation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/alfadur7/llm-wiki-newsroom.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/scholarly-citation .claude/skills/scholarly-citation && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "scholarly-citation" agent skill from https://github.com/alfadur7/llm-wiki-newsroom/tree/main/.claude/skills/scholarly-citation into .claude/skills/scholarly-citation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholarly-citation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/alfadur7/llm-wiki-newsroom/tree/main/.claude/skills/scholarly-citationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add alfadur7/llm-wiki-newsroom --skill scholarly-citation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install alfadur7/llm-wiki-newsroom scholarly-citation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alfadur7/llm-wiki-newsroom.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/scholarly-citation .agents/skills/scholarly-citation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scholarly-citation" agent skill from https://github.com/alfadur7/llm-wiki-newsroom/tree/main/.claude/skills/scholarly-citation into .agents/skills/scholarly-citation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholarly-citation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alfadur7/llm-wiki-newsroom --skill scholarly-citation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install alfadur7/llm-wiki-newsroom scholarly-citation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alfadur7/llm-wiki-newsroom.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/scholarly-citation .cursor/skills/scholarly-citation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "scholarly-citation" agent skill from https://github.com/alfadur7/llm-wiki-newsroom/tree/main/.claude/skills/scholarly-citation into .cursor/skills/scholarly-citation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholarly-citation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/alfadur7/llm-wiki-newsroom.git --path .claude/skills/scholarly-citation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add alfadur7/llm-wiki-newsroom --skill scholarly-citation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install alfadur7/llm-wiki-newsroom scholarly-citation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alfadur7/llm-wiki-newsroom.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/scholarly-citation .gemini/skills/scholarly-citation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "scholarly-citation" agent skill from https://github.com/alfadur7/llm-wiki-newsroom/tree/main/.claude/skills/scholarly-citation into .gemini/skills/scholarly-citation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholarly-citation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install alfadur7/llm-wiki-newsroom scholarly-citationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add alfadur7/llm-wiki-newsroom --skill scholarly-citation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/alfadur7/llm-wiki-newsroom.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/scholarly-citation .github/skills/scholarly-citation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "scholarly-citation" agent skill from https://github.com/alfadur7/llm-wiki-newsroom/tree/main/.claude/skills/scholarly-citation into .github/skills/scholarly-citation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholarly-citation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alfadur7/llm-wiki-newsroom --skill scholarly-citation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install alfadur7/llm-wiki-newsroom scholarly-citation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alfadur7/llm-wiki-newsroom.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/scholarly-citation .opencode/skills/scholarly-citation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "scholarly-citation" agent skill from https://github.com/alfadur7/llm-wiki-newsroom/tree/main/.claude/skills/scholarly-citation into .opencode/skills/scholarly-citation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholarly-citation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
scholarly-citationVerifiable-attribution and citation-discipline craft — atomic claim decomposition, evidence grading (primary/analysis/forecast tiers), claimant attribution, citation typing…
Scholarly Citation is an agent skill from alfadur7/llm-wiki-newsroom. Verifiable-attribution and citation-discipline craft — atomic claim decomposition, evidence grading (primary/analysis/forecast tiers), claimant attribution, citation typing (cites/references/contradicts/defines), source anchoring (Xanadu). Use when writing or reviewing a reference or synthesis page that attributes and cites source-based claims so they stay traceable, or when claim attribution, citation typing, or evidence grading is needed.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `checks.py` and `criteria.json`).
It sits in Knowledge Management, covering Citation management. The repository describes itself as: Harness engineering applied to knowledge production: a self-evolving multi-agent newsroom that turns your documents into a cross-linked markdown wiki. A "reground" loop pulls… The licence is MIT.
Read from SKILL.md and the folder at commit 03173ce. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships script files (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
scite.aien.wikipedia.orgowl.purdue.eduelicit.comiicm.tugraz.atapastyle.apa.orgFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Scholarly Citation loads about 1.7k tokens when it runs. Until then it costs about 116 tokens; SKILL.md has 741 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from alfadur7/llm-wiki-newsroom at commit 03173ce, republished under its MIT licence (© alfadur7). 741 words, ~1,685 tokens.
.claude/skills/scholarly-citation/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Verifiable-attribution craft drawn from scholarly/scientific citation traditions (citation classification, typing, anchoring). It ensures every claim in this wiki is atomized, evidence-graded, attributed to a speaker, typed by citation meaning, and anchored to a source location — and therefore traceable. Unlike the three borrowed traditions (narrative, exec summary, encyclopedic neutrality), this craft synthesizes external sources into an atomic-claim schema and is the project's signature. criteria.json is the SoT for each criterion's definition, comparator, and source; wiki-global state (page existence·hub type·section titles) is injected by the orchestrator (tools/_lint/source.py). The schema literals (## Key Claims, [fact], cites: etc.) are the wiki's actual schema markers and section headers.
One claim, one line, one utterance. Each line of ## Key Claims (Key Claims) marks an evidence grade — [fact] (primary source), [analysis] (secondary analysis), [forecast] (forecast). Putting two subjects' claims on one line (joined by "and"/"&" or a comma series spanning two hubs; ko: the conjunctions 와/및), or chaining verb phrases on one line ("…did, and …did"; ko: ~했고, ~했다), breaks atomicity.
Every claim is bound to who said it. The slot right after the grade marker names the speaker — a [[wikilink]] when they have a page, their plain-text real name and role when they fall below the page-creation threshold. What WP:ASF requires is the named source; the wikilink is one means to it, so demanding a link from a speaker who cannot have a page only pushes the author to link some other entity. Anonymous or collective subjects ("the government"·"industry sources"; ko 정부는·업계에서는) stay forbidden in either form ("avoid stating opinions as facts"; attribute them to a named source), as does naming in plain text a page that does exist. A blockquote names its speaker (APA author-date principle — identify the cited author), wikilinked when that speaker has a page. A speaker with no page stays plain text with their role spelled out. Any target that is linked must exist as a real page.
Each line of ## Connections (Connections) types the citation's meaning — cites: (direct grounds)·references: (context)·contradicts: (dispute)·defines: (definition). This extends scite Smart Citations' Supporting / Mentioning / Contrasting classes (with defines: added). If every line collapses to the default-safe references:, that signals avoidance of meaning classification. defines: points only to a concept hub.
An external-evidence citation anchors to the source's section — [[slug#section]] (ko: [[slug#섹션]]). This applies Xanadu citation anchoring (visible links to the precise source location, Ted Nelson) at the source level; a gradual migration, so 0% still passes (advisory), but the anchor target's slug and section must exist.
A piece synthesizing many sources follows Select→Read→Cite discipline — the declared source set (frontmatter) is the top set, and both the sources read and the sources cited in the body are subsets of it.
[[slug#section]]; ko [[slug#섹션]]) — the same Xanadu principle applied to synthesis evidence. A gradual migration, so advisory.The synthesizing piece's narrative consciously reflects the evidence-grade ([fact]·[analysis]·[forecast]) and citation-type (cites:·references:·contradicts:·defines:) schema attached to sources — noting which grades the evidence base rests on, the dominant claimant, strong coupling (cites) vs context (references) — to deepen attribution. Confine attribution strength to factual statements; do not let it spill into verdict conclusions. Deterministic measurement (count_grade_meta·count_cite_type_meta) counts grade/cite-type meta expressions as advisory; the lints judge the cite-type count only under WIKI_LANG=ko.
Each URL points to the relevant page as of the last verification.
© alfadur7, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files in .claude/skills/scholarly-citation of alfadur7/llm-wiki-newsroom.
Open the folder on GitHubat commit 03173ce
Scholarly Citation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Scholarly Citation this skillalfadur7/llm-wiki-newsroom | 171 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Llmwikiatomicstrata/llm-wiki-compiler | 2.2k | — | ~814 | Automated safety check: Pass | MIT | |
| Corgispec Askricoyudog/Coding_Corgi_flow | 104 | — | ~689 | Automated safety check: Pass | None | |
| Evidence ExtractoropenJiuwen-ai/sciencediscovery | 159 | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Kb Answertechwolf-ai/ai-first-toolkit | 132 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Source Grounded Research ReportNeuroAIHub/BrainPilot | 1.1k | — | ~503 | Automated safety check: Pass | AGPL-3.0 |
atomicstrata/llm-wiki-compiler
Build and use a persistent, citation-traceable knowledge wiki from documents, research papers, notes, or project documentation.
ricoyudog/Coding_Corgi_flow
Answer pending Obsidian questions from CorgiSpec Memory/Wiki with early-stop retrieval, source citations, and a strict file budget.
openJiuwen-ai/sciencediscovery
A skill your agent uses when a research workflow needs source-grounded evidence extraction from a literaturesources.json package or compatible source list.
techwolf-ai/ai-first-toolkit
Answer questions using your project's knowledge base with evidence-backed citations.
NeuroAIHub/BrainPilot
Research a bounded factual, documentation, API, or literature question from authoritative sources and save a self-contained Markdown report with claim-level citations.
wentorai/research-plugins
Reference manager with PDF viewer and Markdown note support. An agent skill from wentorai/research-plugins.
alfadur7/llm-wiki-newsroom
Guideline-authoring craft for instruction SoTs (.claude/ guides, CLAUDE.md, plan files) — operative rules vs recital, MUST/SHOULD/MAY force tiers, pruning, bloat control, blind review protocol…
alfadur7/llm-wiki-newsroom
Management-consulting writing craft — McKinsey SCR (Situation·Complication·Resolution), Minto Pyramid/MECE, BCG bold-bullet executive summary, so-what upfront, numeric precision, Forrester Landscape.
alfadur7/llm-wiki-newsroom
Encyclopedic neutral-reference writing craft — NPOV (attribute facts not opinions, due weight, neutral faction labels, verdict restraint), summary style and Coatrack avoidance, wikilink conventions…
alfadur7/llm-wiki-newsroom
Journalism and argumentation writing craft — inverted pyramid, lede, nut graph, kicker, explainer framing, PAGE frames, Toulmin argument (claim/rebuttal/qualifier), Hegelian dialectic, BBC due…
Categories
Verifiable-attribution and citation-discipline craft — atomic claim decomposition, evidence grading (primary/analysis/forecast tiers), claimant attribution, citation typing…. Scholarly Citation is an agent skill from alfadur7/llm-wiki-newsroom. Verifiable-attribution and citation-discipline craft — atomic claim decomposition, evidence grading (primary/analysis/forecast tiers), claimant attribution, citation typing (cites/references/contradicts/defines), source anchoring (Xanadu).
Scholarly Citation fits situations like: reviewing a reference; synthesis page that attributes and cites source-based claims so they stay traceable; claim attribution; citation typing.
Run `npx skills add alfadur7/llm-wiki-newsroom --skill scholarly-citation -a claude-code`. Or copy the skill folder (.claude/skills/scholarly-citation in alfadur7/llm-wiki-newsroom) into .claude/skills/scholarly-citation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add alfadur7/llm-wiki-newsroom --skill scholarly-citation -a codex`. Or copy the skill folder (.claude/skills/scholarly-citation in alfadur7/llm-wiki-newsroom) into .agents/skills/scholarly-citation in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alfadur7/llm-wiki-newsroom --skill scholarly-citation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scholarly-citation, .gemini/skills/scholarly-citation, .github/skills/scholarly-citation and .opencode/skills/scholarly-citation in your project.
Going by SKILL.md and its folder, Scholarly Citation needs Python for the scripts in its folder. Our summary lists: Python 3.
SKILL.md names 6 domains. As links in the text: scite.ai, en.wikipedia.org, owl.purdue.edu, elicit.com, iicm.tugraz.at and apastyle.apa.org. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Scholarly Citation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Scholarly Citation: Llmwiki (atomicstrata/llm-wiki-compiler, 2.2k stars), Corgispec Ask (ricoyudog/Coding_Corgi_flow, 104 stars), Evidence Extractor (openJiuwen-ai/sciencediscovery, 159 stars) and Kb Answer (techwolf-ai/ai-first-toolkit, 132 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
alfadur7 (a GitHub user) maintains it in alfadur7/llm-wiki-newsroom, which has 171 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 5, 2026.
Source: alfadur7/llm-wiki-newsroom on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.