add-anydoc
Add local office-document-to-Markdown conversion to NanoClaw agent containers with the pinned Firecrawl AnyDoc CLI
Install / Use
npx skills add nanocoai/nanoclaw --skill add-anydocInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
Our assessment of add-anydoc
add-anydoc scores 95/100 on our quality scale, 139th of 1,264 Automation skills we index (top 11%).
Its SKILL.md is 7.2 KB long, well organised into 8 sections with 6 code examples: a thorough specification that gives an agent plenty to work with.
With 30,846 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated yesterday, so add-anydoc is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-26. Automated pattern scan on 2026-09-26. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
add-anydoc compared with similar skills
All 4 of these similar skills score higher than add-anydoc; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| add-anydoc (this skill)by nanocoai | 95 | 30.8k | 1d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.5k | 10d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 73.8k | today | CLAUDE.md |
| rufloby ruvnet | 100 | 73.3k | 1d ago | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.1k | today | CLAUDE.md |
Frequently asked questions
- How do I install add-anydoc?
- Run
npx skills add nanocoai/nanoclaw --skill add-anydoc. The install tabs above show the steps for each supported agent. - Which AI agents does add-anydoc work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is add-anydoc safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is add-anydoc still maintained?
- The repository was last updated yesterday, so add-anydoc is actively maintained.
Skill content
View source on GitHubname: add-anydoc description: Add local office-document-to-Markdown conversion to NanoClaw agent containers with the pinned Firecrawl AnyDoc CLI. Use when agents need to read attached Word, PowerPoint, Excel, OpenDocument, RTF, EPUB, CSV, or text-based PDF files without uploading them to a hosted parser.
Add AnyDoc
Install one pinned CLI and one focused container skill. Keep document conversion inside the agent container; do not change NanoClaw's attachment pipeline or add credentials, an MCP server, or a hosted parser.
Preflight
-
Read
CONTRIBUTING.md,docs/skill-guidelines.md, and the supply-chain section ofdocs/SECURITY.md. -
Run this check against the official npm registry before changing files:
curl -fsSL "https://registry.npmjs.org/@firecrawl%2Fanydoc" | node -e ' let body = ""; process.stdin.setEncoding("utf8"); process.stdin.on("data", (chunk) => (body += chunk)); process.stdin.on("end", () => { const metadata = JSON.parse(body); const version = "0.1.6"; const release = metadata.versions?.[version]; const publishedAt = Date.parse(metadata.time?.[version] ?? ""); const eligibleAt = publishedAt + 72 * 60 * 60 * 1000; if (!release) throw new Error(`${version} is missing from the registry`); if (release.deprecated) throw new Error(`${version} is deprecated: ${release.deprecated}`); if (!Number.isFinite(publishedAt)) throw new Error(`missing publish time for ${version}`); if (Date.now() < eligibleAt) throw new Error(`${version} is gated until ${new Date(eligibleAt).toISOString()}`); console.log(`${version} passed the 72-hour release gate`); }); 'Stop on any failure. Do not install a PR commit, add a
minimumReleaseAgeExclude, enable lifecycle scripts, or silently substitute another version, unless the user explicitly approves it. -
Inspect
container/cli-tools.jsonfor@firecrawl/anydocbefore changing files:- No entry: continue.
- Exactly one entry at
0.1.6: leave it unchanged. - A duplicate or any other version: stop and report the conflict.
-
Check whether
container/skills/convert-documents-to-markdown/SKILL.mdandsrc/anydoc-manifest.test.tsalready exist. Reapplying this skill overwrites only those dedicated files. -
If
data/v2.dbexists, inspect per-group image pins before changing files. Standard derived images can be rebuilt from the updated shared image. Stop and report any other pin because its owner must decide how to rebuild it:if [ -f data/v2.db ]; then source setup/lib/install-slug.sh image_base="$(container_image_base)" foreign=0 while IFS='|' read -r group_id image_tag package_count; do [ -z "$group_id" ] && continue if [ "$image_tag" != "${image_base}:${group_id}" ]; then echo "Foreign image pin: $group_id -> $image_tag" >&2 foreign=1 elif [ "$package_count" -eq 0 ]; then echo "Derived image cannot be rebuilt: $group_id has no configured packages" >&2 foreign=1 elif ! ncl groups get --id "$group_id" >/dev/null; then echo "Cannot reach NanoClaw through ncl for derived image: $group_id" >&2 foreign=1 fi done < <(pnpm exec tsx scripts/q.ts data/v2.db \ "SELECT agent_group_id, image_tag, COALESCE(json_array_length(packages_apt), 0) + COALESCE(json_array_length(packages_npm), 0) FROM container_configs WHERE image_tag IS NOT NULL ORDER BY agent_group_id") [ "$foreign" -eq 0 ] fi
Install
Resolve this skill's bundled files from either Claude Code's skill variable or the project skill directory, then copy both files:
project_root="$(git rev-parse --show-toplevel)"
skill_dir="${CLAUDE_SKILL_DIR:-$project_root/.claude/skills/add-anydoc}"
test -f "$skill_dir/container-skills/convert-documents-to-markdown/SKILL.md"
test -f "$skill_dir/anydoc-manifest.test.ts"
mkdir -p container/skills/convert-documents-to-markdown
cp "$skill_dir/container-skills/convert-documents-to-markdown/SKILL.md" \
container/skills/convert-documents-to-markdown/SKILL.md
cp "$skill_dir/anydoc-manifest.test.ts" src/anydoc-manifest.test.ts
If the manifest has no AnyDoc entry, append this exact object to its JSON array. Do not add onlyBuilt; the package and its prebuilt Linux bindings have no install lifecycle script.
{ "name": "@firecrawl/anydoc", "version": "0.1.6" }
Validate and build
Run validation before building the image:
pnpm exec vitest run src/anydoc-manifest.test.ts container/cli-tools.test.ts
pnpm run build
./container/build.sh
If pnpm rejects the package as too new, stop. Do not bypass the release-age policy.
Rebuild standard per-group images so groups with custom packages inherit the updated shared image:
if [ -f data/v2.db ]; then
source setup/lib/install-slug.sh
image_base="$(container_image_base)"
while IFS='|' read -r group_id image_tag; do
[ -z "$group_id" ] && continue
if [ "$image_tag" != "${image_base}:${group_id}" ]; then
echo "Foreign image pin appeared during install: $group_id -> $image_tag" >&2
exit 1
fi
ncl groups restart --id "$group_id" --rebuild
done < <(pnpm exec tsx scripts/q.ts data/v2.db \
"SELECT agent_group_id, image_tag FROM container_configs WHERE image_tag IS NOT NULL ORDER BY agent_group_id")
fi
Resolve this install's image name and exercise the native binding, not only the help path:
source setup/lib/install-slug.sh
image="$(container_image_base):latest"
docker run --rm --entrypoint anydoc "$image" --version
printf 'name,count\nalpha,2\n' | \
docker run --rm -i --entrypoint anydoc "$image" - --format csv | grep -q alpha
docker run --rm --entrypoint sh "$image" -c 'command -v timeout'
If timeout is absent, remove its wrapper from the installed container skill; do not add another dependency. Convert local DOCX, PPTX, and XLSX fixtures when available. Do not add private or large binary fixtures to the repository.
Restart
Restart this NanoClaw service only, so its running containers stop and default skills: "all" groups receive the new shared skill on their next spawn:
source setup/lib/install-slug.sh
# macOS
launchctl kickstart -k "gui/$(id -u)/$(launchd_label)"
# Linux
systemctl --user restart "$(systemd_unit)"
Run only the command for the current platform. If NanoClaw is not service-managed, stop this install's running agent containers by their nanoclaw-install=<install-slug> label instead of matching every nanoclaw-v2 container on the host.
Smoke test
Use one real channel attachment and verify the complete path:
- Confirm the message supplies an absolute local path such as
/workspace/inbox/<message-id>/<file>, and use that exact path. - Convert it to
/workspace/agent/converted/and summarize only the relevant Markdown sections. - Confirm an image-only PDF fails clearly and is not uploaded anywhere.
- For agents open to unknown senders, recommend an operator-set
CONTAINER_MEMORY_LIMIT; AnyDoc's parser caps decompression, but NanoClaw containers have no memory limit by default.
Report that office documents now convert locally. Call out that scanned PDFs need OCR, embedded visuals may be incomplete, and spreadsheet Markdown is not authoritative for calculations.
Related Skills
Agent-Reach
85.5kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
headroom
73.8kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
ruflo
73.3k🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
CowAgent
47.1kOpen-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install.
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
