session-scan
Compute metrics for Claude Code sessions. Discovers via ccrider, filters trivial, computes friction/opportunity/fingerprint scores. Use for broad session triage.
pinned to #ab56178updated 2 weeks ago
Ask your AI client: “install skills/session-scan”.
Requires the metahub MCP server installed in your client. Set up MCP.
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- #ai-agents
- #ai-coding-assistant
- #automation
- #claude
- #claude-code
- #claude-code-plugin
- #claude-code-skills
- #claude-skills
- #code-review
- #developer-tools
- #ecto
- #elixir
- #elixir-lang
- #elixir-phoenix
- #liveview
- #oban
- #phoenix
- #phoenix-framework
- #tidewave
- #vibe-coding
About this skill
Pulled from SKILL.md at publish time.
Compute deterministic metrics for sessions discovered via ccrider MCP.
Evaluation report
WarningsAutomated checks the publisher passed at publish time — structure, docs, safety, and whether the artifact behaves as claimed.ab56178· 2 weeks ago
Kind-specific
31Skill: SKILL.md present
found at .claude/skills/session-scan/SKILL.md · frontmatter source: SKILL.md
Skill: body content present
590 words · 4,756 chars · 14 sections · 7 code blocks
Skill: triggers declaredwarn
No `trigger` phrases in SKILL.md frontmatter
Add `trigger:` lines so Claude knows when to activate this skill — e.g. `when building MCP servers` or `for diagram creation`.
Skill: allowed-tools scope
no allowed-tools restriction (Claude may use anything)
Release history
1- releasecurrentab56178warn2 weeks ago
Contents
Compute deterministic metrics for sessions discovered via ccrider MCP.
STOP — Read Before Executing
NEVER call mcp__ccrider__get_session_messages in main context.
Each response is 5-50KB of JSON. Fetching N sessions directly = context crash.
You MUST delegate all scoring to subagents. The main context only does: discovery, deduplication, subagent spawning, and result collection.
Requirements
Requires ccrider MCP. If not available:
ccrider MCP is required. See: https://github.com/neilberkman/ccrider
Usage
/session-scan # Last 7 days, up to 50 sessions
/session-scan --since 2026-02-01 # Since specific date
/session-scan --project enaia # Filter by project name
/session-scan --limit 20 # Cap session count
/session-scan --list # Discovery only, no scoring
/session-scan --rescan # Recompute already-scanned sessions
What Main Context Does
1. Parse Arguments
Extract from $ARGUMENTS:
--since DATE: ISO date filter (default: 7 days ago)--project NAME: Filter by project path substring--limit N: Max sessions to process (default: 50)--list: Discovery only — show table, skip scoring--rescan: Recompute metrics for already-scanned sessions
2. Discover Sessions (safe — response is ~1KB)
mcp__ccrider__list_recent_sessions(limit: N, project: PROJECT, after_date: SINCE)
Filter out sessions with < 10 messages. If --list: show table and stop.
3. Deduplicate
Read .claude/session-metrics/metrics.jsonl (if exists).
Skip sessions already scanned unless --rescan flag is set.
Report: "N new sessions to scan (M already in ledger)"
4. Resolve Scorer Path
Glob: **/session-scan/references/compute-metrics.py
Store as SCORER_PATH (absolute). PROJECT_ROOT = current working directory.
5. Spawn ONE Subagent Per Session
DO NOT fetch messages yourself. DO NOT run Python yourself. You MUST use the Task tool to spawn subagents.
For EACH unscanned session, spawn a haiku subagent using this template:
Task(subagent_type="general-purpose", model="haiku", mode="bypassPermissions", prompt="""
Score one Claude Code session. Steps:
1. Fetch messages:
mcp__ccrider__get_session_messages(session_id: "{SESSION_ID}", last_n: 200)
2. Write the full tool result (messages JSON) to:
{PROJECT_ROOT}/.claude/session-metrics/_tmp_{SHORT_ID}.json
3. Run scorer and capture result in ONE Bash command:
python3 {SCORER_PATH} {PROJECT_ROOT}/.claude/session-metrics/_tmp_{SHORT_ID}.json --session-id {SESSION_ID} --project {PROJECT_NAME} > {PROJECT_ROOT}/.claude/session-metrics/_result_{SHORT_ID}.json && rm {PROJECT_ROOT}/.claude/session-metrics/_tmp_{SHORT_ID}.json
4. Report back: "Scored {SHORT_ID}: friction=X.XX fingerprint=Y"
If ccrider fails, report the error and exit.
""")
Spawn ALL subagents in parallel. Wait for all to complete.
6. Collect Results
for f in .claude/session-metrics/_result_*.json; do
cat "$f" >> .claude/session-metrics/metrics.jsonl
rm "$f"
done
7. Display Results
Show summary table sorted by friction (descending):
| ID | Project | Date | Type | Friction | Opportunity | Tier2? |
|----------|---------|------------|-------------|----------|-------------|--------|
| ffa155ee | enaia | 2026-02-18 | bug-fix | 0.42 | 0.65 | Yes |
| 90a74843 | wedding | 2026-02-17 | feature | 0.15 | 0.20 | No |
If Tier 2 eligible: suggest /session-deep-dive --from-scan.
8. Update Scan Metadata
Write .claude/session-metrics/latest-scan.json:
{
"scanned_at": "2026-02-20T14:30:00Z",
"sessions_discovered": 25,
"sessions_scanned": 18,
"sessions_skipped": 7,
"tier2_eligible": 5
}
Scoring Reference
See references/scoring-guide.md for full algorithm documentation.
- Friction Score (0-1): Weighted signals, sigmoid-normalized
- Fingerprint: Rule-based classifier (6 types)
- Plugin Opportunity (0-1): Missed
/phx:commands - Tier 2 Eligible: friction > 0.35 OR opportunity > 0.5 OR plugin used OR msgs > 50
Iron Laws
- NEVER call
get_session_messagesin main context — WILL crash context - ONE subagent per session — each fetches exactly ONE session
mode="bypassPermissions"on every Task — subagents need Write+Bash- Absolute paths in subagent prompts — subagents don't inherit context
- Result files, not direct append — avoid jsonl race conditions
- NEVER modify existing metrics.jsonl entries — append-only ledger
- ALWAYS delete temp and result files after processing
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mh install skills/session-scan