research-archival

安装量: 50
排名: #14859

安装

npx skills add https://github.com/terrylica/cc-skills --skill research-archival
Research Archival
Scrape AI research conversations (ChatGPT, Gemini, Claude) and web pages, archive them as markdown files with YAML frontmatter, and create cross-referenced GitHub Issues — with mandatory identity verification at every step.
FIRST - TodoWrite Task Templates
MANDATORY
Select and load the appropriate template before any archival work. Template A - Full Archival (scrape + save + issue) 1. Identity preflight — verify GH_ACCOUNT or resolve via curl /user 2. Scrape URL — route to Firecrawl or Jina per url-routing.md 3. Save to file — YYYY-MM-DD-{slug}-{source_type}.md with frontmatter 4. Survey labels — gh label list, reuse existing, max 3-6 5. Create GitHub Issue — use --body with heredoc or --body-file 6. Update frontmatter — add github_issue_url and github_issue_number 7. Post canonical backlink comment on Issue Template B - Save Only (no issue) 1. Identity preflight (still required for consistency) 2. Scrape URL — route to Firecrawl or Jina per url-routing.md 3. Save to file — YYYY-MM-DD-{slug}-{source_type}.md with frontmatter Template C - Issue Only (file already exists) 1. Identity preflight 2. Read existing file frontmatter 3. Survey labels — gh label list, reuse existing, max 3-6 4. Create GitHub Issue — use --body with heredoc or --body-file 5. Update file frontmatter with issue cross-reference 6. Post canonical backlink comment on Issue Identity Preflight (MANDATORY — Step 0) MUST execute before any gh write command. Non-negotiable. The gh-repo-identity-guard.mjs PreToolUse hook provides a safety net, but this skill performs its own check as defense-in-depth. Resolution Order Fast-path — GH_ACCOUNT env var (set by mise per-directory) Token filename — scan ~/.claude/.secrets/gh-token-* for single base match API call — curl -sH "Authorization: token $GH_TOKEN" https://api.github.com/user Verification /usr/bin/env bash << 'IDENTITY_EOF'

Resolve authenticated user

if [ -n "$GH_ACCOUNT" ]; then AUTH_USER="$GH_ACCOUNT" AUTH_SOURCE="GH_ACCOUNT" else AUTH_USER=$(curl -sf --max-time 5 -H "Authorization: token $GH_TOKEN" \ https://api.github.com/user 2>/dev/null | grep -o '"login":"[^"]*"' | cut -d'"' -f4) AUTH_SOURCE="API /user" fi

Resolve target repo owner

REPO_OWNER=$(git remote get-url origin 2>/dev/null | sed -n 's|.github.com[:/]([^/])/.*|\1|p')
echo "Authenticated as: $AUTH_USER (via $AUTH_SOURCE)"
echo "Target repo owner: $REPO_OWNER"
if [ "$AUTH_USER" != "$REPO_OWNER" ]; then
echo ""
echo "MISMATCH — do NOT proceed with gh write commands"
echo "Fix: export GH_TOKEN=\$(cat ~/.claude/.secrets/gh-token-$REPO_OWNER)"
exit 1
fi
echo "Identity verified — safe to proceed"
IDENTITY_EOF
BLOCK if mismatch
— display diagnostic and do NOT continue to any
gh
write operation.
Scraping Workflow
Route scrape requests based on URL pattern. See
url-routing.md
for full details.
Decision Tree
URL contains chatgpt.com/share/
→ Jina Reader (https://r.jina.ai/{URL})
→ Use curl (not WebFetch — it summarizes instead of returning raw)
URL contains gemini.google.com/share/
→ Firecrawl (JS-heavy SPA)
→ Preflight: ping -c1 -W2 172.25.236.1
URL contains claude.ai/artifacts/ or is a static web page
→ Jina Reader (https://r.jina.ai/{URL})
→ Use WebFetch or curl
Firecrawl Scrape (with Health Check + Auto-Revival)
CRITICAL
Firecrawl containers can show "Up" in docker ps while internal processes are dead (RAM/CPU overload crashes the worker inside the container). Always perform a deep health check before scraping. /usr/bin/env bash << 'SCRAPE_EOF' set -euo pipefail

Step 1: Check ZeroTier connectivity

if ! ping -c1 -W2 172.25.236.1 >/dev/null 2>&1; then echo "ERROR: Firecrawl host unreachable. Check ZeroTier: zerotier-cli status" exit 1 fi

Step 2: Deep health check — test actual API response, not just container status

Port 3003 (wrapper) may accept TCP but return empty if Firecrawl API (3002) is dead inside

HTTP_CODE=$(ssh littleblack 'curl -sf -o /dev/null -w "%{http_code}" --max-time 10 \ -X POST http://localhost:3002/v1/scrape \ -H "Content-Type: application/json" \ -d "{\"url\":\"https://example.com\",\"formats\":[\"markdown\"]}"' 2>/dev/null || echo "000") if [ "$HTTP_CODE" = "000" ] || [ "$HTTP_CODE" = "502" ] || [ "$HTTP_CODE" = "503" ]; then echo "WARNING: Firecrawl API unhealthy (HTTP $HTTP_CODE). Attempting revival..."

Step 2a: Check docker logs for WORKER STALLED (RAM/CPU overload)

ssh littleblack 'docker logs firecrawl-api-1 --tail 20 2>&1 | grep -i "stalled|error|exit" || true'

Step 2b: Restart the critical containers

ssh littleblack 'docker restart firecrawl-api-1 firecrawl-playwright-service-1' 2>/dev/null echo "Containers restarted. Waiting 20s for API to initialize..." sleep 20

Step 2c: Verify recovery

HTTP_CODE=$(ssh littleblack 'curl -sf -o /dev/null -w "%{http_code}" --max-time 10 \ -X POST http://localhost:3002/v1/scrape \ -H "Content-Type: application/json" \ -d "{\"url\":\"https://example.com\",\"formats\":[\"markdown\"]}"' 2>/dev/null || echo "000") if [ "$HTTP_CODE" = "000" ] || [ "$HTTP_CODE" = "502" ] || [ "$HTTP_CODE" = "503" ]; then echo "ERROR: Firecrawl still unhealthy after restart (HTTP $HTTP_CODE)." echo "Manual intervention needed. Try: ssh littleblack 'cd ~/firecrawl && docker compose up -d --force-recreate'" echo "Falling back to Jina Reader: https://r.jina.ai/${URL}" exit 1 fi echo "Firecrawl recovered successfully." fi

Step 3: Scrape via wrapper

CONTENT=$(curl -s --max-time 120 "http://172.25.236.1:3003/scrape?url=${URL}&name=${SLUG}")
if [ -z "$CONTENT" ]; then
echo "ERROR: Scrape returned empty. Try Jina fallback: https://r.jina.ai/${URL}"
exit 1
fi
echo "$CONTENT"
SCRAPE_EOF
Known Failure Mode: Container "Up" But Processes Dead
Symptom
:
docker ps
shows containers with status "Up 4 days" but
curl localhost:3002
returns connection reset.
Root cause
Firecrawl worker exhausts RAM/CPU (observed: cpuUsage=0.998, memoryUsage=0.858 ). Internal Node.js processes exit but Docker container stays alive because the entrypoint shell is still running. Diagnosis : ssh littleblack 'docker logs firecrawl-api-1 --tail 50 2>&1 | grep -E "STALLED|cpuUsage|exit"'

Look for: WORKER STALLED

Fix : docker restart (not docker compose restart — may require permissions to compose directory): ssh littleblack 'docker restart firecrawl-api-1 firecrawl-playwright-service-1' sleep 20

Wait for API initialization

Verify:

ssh littleblack 'curl -s -o /dev/null -w "%{http_code}" http://localhost:3002/v1/scrape' File Saving Naming Convention YYYY-MM-DD-{slug}-{source_type}.md slug — kebab-case summary (max 50 chars) source_type — from enum: chatgpt , gemini , claude , web Default location : docs/research/ in the current project. YAML Frontmatter See frontmatter-schema.md for the full field contract.


source_url : https : //chatgpt.com/share/ ... source_type : chatgpt - share scraped_at : "2026-02-09T18:30:00Z" model_name : gpt - 4o custom_gpt_name : Cosmo claude_code_uuid : SESSION_UUID github_issue_url : "" github_issue_number : ""


Leave
github_issue_url
and
github_issue_number
empty — update after Issue creation.
GitHub Issue Creation
Label Survey
Survey existing labels first — reuse preferred, create only when concept is genuinely novel.
gh label list
--repo
owner/repo
--limit
100
Policy
Max 3-6 labels per issue. Common labels: research , ai-output , chatgpt , gemini , archival . Create Issue Use --body with heredoc for inline composition, or --body-file for very large content. /usr/bin/env bash << 'ISSUE_EOF'

Write body to temp file

cat > "/tmp/issue-body-${SLUG}.md" << 'BODY_EOF'

Summary

Brief description of the archived research content.

Source

  • URL: SOURCE_URL
  • Type: source_type
  • Model: model_name
  • Scraped: scraped_at

Key Findings

  • Finding 1
  • Finding 2

Archived File

docs/research/FILENAME.md BODY_EOF

Create issue

gh issue create \ --repo owner/repo \ --title "Research: descriptive title here" \ --body-file "/tmp/issue-body-${SLUG}.md" \ --label "research,ai-output"

Clean up

rm -f "/tmp/issue-body-${SLUG}.md" ISSUE_EOF Update Frontmatter After issue creation, update the archived file's frontmatter with the issue URL and number. Canonical Backlink Comment Post a comment on the Issue linking back to the archived file: Archived: docs/research/YYYY-MM-DD-slug-source_type.md Scraped: 2026-02-09T18:30:00Z Source: chatgpt-share Session: SESSION_UUID Post-Change Checklist After modifying THIS skill: YAML frontmatter valid (no colons in description) Trigger keywords current in description All ./references/ links resolve Identity preflight section remains FIRST in workflow Append changes to evolution-log.md Validate: uv run plugins/plugin-dev/scripts/skill-creator/quick_validate.py plugins/gh-tools/skills/research-archival Validate links: bun run plugins/plugin-dev/scripts/validate-links.ts plugins/gh-tools/skills/research-archival Troubleshooting Issue Cause Fix Wrong account posting GH_TOKEN mismatch Check mise env | grep GH_TOKEN , verify GH_ACCOUNT Body exceeds 65536 chars GitHub API limit Split across issue body + first comment Firecrawl unreachable ZeroTier down ping 172.25.236.1 , check zerotier-cli status Firecrawl "Up" but dead Container alive, processes crashed docker restart firecrawl-api-1 firecrawl-playwright-service-1 , wait 20s Firecrawl WORKER STALLED RAM/CPU overload (>85% mem) Same as above; check docker logs firecrawl-api-1 --tail 50 Scrape returns empty JS-heavy page timeout Increase Firecrawl timeout, try Jina fallback Jina returns login page shell Gemini login wall (not rendered) Must use Firecrawl for gemini.google.com/share/* URLs mise parse error Stale .mise.toml syntax Run mise doctor , check [hooks.enter] syntax Identity guard blocks Non-owner account export GH_TOKEN=$(cat ~/.claude/.secrets/gh-token-OWNER) References Frontmatter Schema — YAML field contract URL Routing — Scraper routing table Evolution Log — Change history

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