wiki-enrich
Fill in the per-paper TODO sections of research-wiki/papers/<slug>.md pages that literature-ingest skills leave as bare scaffolds.
Skill by wanshuiyin
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About
Use cases: research, productivity, agent-building
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What this skill can do and what it asks for, from its SKILL.md. 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/wiki-enrich
Tools it pre-approves 7
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Bash(*),Read,Write,Edit,Glob,Grep,WebFetch
What's inside
- Skill name
wiki-enrich- Description
- Fill in the per-paper TODO sections of research-wiki/papers/<slug>.md pages that literature-ingest skills leave as bare scaffolds. Use when user says 'enrich wiki', 'fill paper TODOs', 'wiki body 補完', '把 paper 摘要寫進 wiki', 'research-wiki 自動填', or after a batch ingest that left papers/ as TODO scaffolds.
- License
- MIT
- Allowed tools
- Bash(*),, Read,, Write,, Edit,, Glob,, Grep,, WebFetch
- Instructions
- 250 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves some shell commands
- Instructions call the network
Files (1)
- SKILL.md
SKILL.md (first lines)
# Wiki Enrich: Fill Paper TODO Sections (Karpathy LLM-Wiki)
Target: **$ARGUMENTS**
## Why this skill exists
`ingest_paper` (called by `/research-lit`, `/arxiv`, `/alphaxiv`, `/deepxiv`, `/semantic-scholar`, `/exa-search`, `/firecrawl-search`) only renders the per-paper scaffold — frontmatter + abstract + **10 fillable** `_TODO._` placeholder sections (plus two protected sections: `## Connections` is graph-summary and `## Abstract (original)` is auto-populated when `--arxiv-id` is given). No downstream skill in ARIS fills those 10 sections; the wiki sits as TODO until someone reads each paper.
This contradicts the Karpathy LLM-wiki design (https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f):
> "You never (or rarely) write the wiki yourself — the LLM writes and maintains all of it. … The tedious part of maintaining a knowledge base is not the reading or the thinking — it's the bookkeeping. … LLMs don't get bored, don't forget to update a cross-reference, and can touch 15 files in one pass."
`/wiki-enrich` is the missing back half of `ingest_paper`: it reads each scaffolded paper page, fetches paper content from external sources via a graceful fallback chain (see Phase 2.3 for the full 5-source chain), and rewrites the 10 fillable TODO sections into 1-3 sentence prose summaries.
## Constants
- **WIKI_ROOT = `research-wiki/`** — Resolved relative to git root. Skill hard-fails if not a directory.
- **TARGET_DEFAULT = `missing`** — When no target is given, enrich only papers with ≥1 TODO section. Other targets: `<slug>` (one paper) or `all` (every paper, even ones already enriched — usually combined with `--force` to overwrite).
- **SOURCE_DEFAULT = `auto`** — Fetch order: alphaxiv overview → alphaxiv abs → deepxiv brief → arXiv API abstract → page abstract fallback. First non-empty wins (full chain documented in Phase 2.3 table). Override with `--source` to pin one source.
- **MAX_PAPERS = 20** — Hard cap per invocation; LLMs touch many files but token budgets are real. Override with `--max N`.
- **FORCE = false** — When `false` (default), skip sections that already have non-TODO content. When `true`, overwrite every fillable section, but **never** touch the two protected sections: `## Connections` (auto-generated from `edges.jsonl`) and `## Abstract (original)` (immutable arXiv-fetched source data).
- **SECTIONS_TO_FILL** — 10 fillable sections + 2 protected. `ingest_paper` (`research_wiki.py:436-473`) scaffolds 11 section headers unconditionally and a 12th — `## Abstract (original)` — only when arXiv returns an abstract for the given `--arxiv-id` (`research_wiki.py:469-473`). Of these, 10 carry a `_TODO._` (or `_TODO: fill in after reading._`) marker and need filling. The other 2 — `## Connections` (position 10 in the enumeration below) and `## Abstract (original)` (position 12, conditional) — are protected by construction: `Connections` is auto-generated from `graph/edges.jsonl`, `Abstract (original)` is immutable source data from the arXiv API. This skill writes to the 10, never the 2.
1. `One-line thesis` (marker: `_TODO: fill in after reading._`)
2. `Problem / Gap` (marker: `_TODO._`)
3. `Method` (marker: `_TODO._`)
4. `Key Results` (marker: `_TODO._`)
5. `Assumptions` (marker: `_TODO._`)
6. `Limitations / Failure Modes` (marker: `_TODO._`)
7. `Reusable Ingredients` (marker: `_TODO._`)
8. `Open Questions` (marker: `_TODO._`)
9. `Claims` (marker: `_TODO._`) — fill with `_No claims tracked yet._` if no `claim:` edges point to this paper; otherwise list them.
10. `Connections` — **NEVER edit** (auto-generated from `graph/edges.jsonl`).
11. `Relevance to This Project` (marker: `_TODO._`) — use `RESEARCH_BRIEF.md`, `AGENTS.md` (or legacy `CLAUDE.md`), or `gap_map.md` for project context. If no project context exists, leave as TODO and report it.
12. `Abstract (original)` — leave alone (already populated by `ingest_paper` when `--arxiv-id` was used).
> 💡 Examples:
> - `/wiki-enrich` — enrich every paper with ≥1 TODO section (most common usage)
> - `/wiki-enrich vllm` — enrich a single paper by slug
> - `/wiki-enrich all --force` — rewrite every paper from scratch (use when you've adopted a new style)
> - `/wiki-enrich --source alphaxiv --max 5` — only use alphaxiv, only do 5 papers
> - `/wiki-enrich missing --max 50` — bigger batch (watch token budget)
## Pre-flight
Resolve `$WIKI_ROOT` and `$WIKI_SCRIPT` (canonical chain — see `shared-references/wiki-helper-resolution.md`):
```bash
cd "$(git rev-parse --show-toplevel 2>/dev/null || pwd)" || exit 1
[ -d research-wiki/ ] || { echo "ERROR: research-wiki/ not found. Run /research-wiki init first." >&2; exit 1; }
ARIS_REPO="${ARIS_REPO:-$(awk -F'\t' '$1=="repo_root"{print $2; exit}' .aris/installed-skills-codex.txt 2>/dev/null)}"
WIKI_SCRIPT=""
[ -n "$ARIS_REPO" ] && [ -f "$ARIS_REPO/tools/research_wiki.py" ] && WIKI_SCRIPT="$ARIS_REPO/tools/research_wiki.py"
[ -z "$WIKI_SCRIPT" ] && [ -f tools/research_wiki.py ] && WIKI_SCRIPT="tools/research_wiki.py"
[ -z "$WIKI_SCRIPT" ] && [ -f ~/.codex/skills/research-wiki/research_wiki.py ] && WIKI_SCRIPT="$HOME/.codex/skills/research-wiki/research_wiki.py"
[ -n "$WIKI_SCRIPT" ] || { echo "ERROR: research_wiki.py not found." >&2; exit 1; }
```
If either fails, **hard-fail** — this skill manipulates wiki state and must not run blind.
## Workflow
### Phase 1: Parse target + discover candidates
Parse `$ARGUMENTS` for the first positional (target) and flags (`--source`, `--force`, `--max`).
Build the candidate paper list:
```bash
case "$TARGET" in
all)
PAPERS=( research-wiki/papers/*.md )
;;
missing|"")
# only papers with at least one TODO marker line
PAPERS=( $(grep -lE "^_TODO(\._?|: fill in after reading\._?)$" research-wiki/papers/*.md 2>/dev/null) )
;;
*)
P="research-wiki/papers/${TARGET}.md"
[ -f "$P" ] || { echo "ERROR: paper not found: $P" >&2; exit 1; }
PAPERS=( "$P" )
;;
esac
echo "Candidate papers: ${#PAPERS[@]} (cap ${MAX_PAPERS})"
PAPERS=( "${PAPERS[@]:0:${MAX_PAPERS}}" )
```
If the candidate list is empty, print `"✓ Nothing to enrich."` and exit 0. Do not error.
### Phase 2: For each paper — read, fetch, fill
Iterate **one paper at a time**. For each `$PAPER` in `$PAPERS`:
**Step 2.1 — Read the page and project context.** Use the `Read` tool on the full paper file. Extract from the YAML frontmatter:
- `node_id` (e.g. `paper:vllm`) — slug = part after `paper:`
- `arxiv` from `external_ids.arxiv` — empty string if absent
- `title`
- existing `## Abstract (original)` blockquote (if present) — fallback content source
Additionally, on the FIRST paper of the batch (cache for the rest), read project-context files needed for the `Claims` and `Relevance to This Project` sections:
- `research-wiki/graph/edges.jsonl` — scan for `claim:` edges pointing to the current paper's `node_id`
- `RESEARCH_BRIEF.md` (project root) — if present, source for project goals
- `AGENTS.md` (project root, Codex CLI primary) or legacy `CLAUDE.md` — if present, fallback for project context
- `research-wiki/gap_map.md` — if non-empty, source for gap framing
If none of the project-context files exist, the `Relevance to This Project` section will be filled with the literal "context not yet set" line (see Step 2.4 table).
**Step 2.2 — Identify which sections are TODO.**
Match each section header against its marker:
- A header followed by exactly `_TODO._` → fill
- A header followed by `_TODO: fill in after reading._` → fill (One-line thesis)
- A header followed by any other content → skip (unless `--force`)
- `## Connections` → **always skip** (auto-generated)
- `## Abstract (original)` → **always skip** (immutable source data)
If no fillable sections remain, log `"skip: <slug> (already enriched)"` and continue.
**Step 2.3 — Fetch source content.**From wanshuiyin/Auto-claude-code-research-in-sleep, MIT.
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Signals
- Stars
- 18,007
- Forks
- 1,488
- Open issues
- 58
- Last commit (this folder)
- Oct 20, 2026 (15 days ago)
- Last release
- Sep 28, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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wiki-enrich skill. Agent Mart. https://agentmart.dev/skills/wanshuiyin-wiki-enrich (last updated 2026-10-24)