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session-scan

Compute metrics for Claude Code sessions. Discovers via ccrider, filters trivial, computes friction/opportunity/fingerprint scores. Use for broad session triage.

Install / Use

npx skills add oliver-kriska/claude-elixir-phoenix --skill session-scan

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

87/100

Supported Platforms

Claude Code

Our assessment of session-scan

session-scan scores 87/100 on our quality scale, 1739th of 4,634 Development & Engineering skills we index (top 38%).

Its SKILL.md is 5.0 KB long, well organised into 15 sections with 7 code examples: a solid amount of guidance for an agent.

It has 560 GitHub stars, a meaningful sign that others use it.

Substance
26/30
Structure
20/20
Description
15/15
Adoption
12/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 2 days ago, so session-scan 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.

session-scan compared with similar skills

All 4 of these similar skills score higher than session-scan; compare them before choosing.

SkillScoreStarsUpdatedFormat
session-scan (this skill)by oliver-kriska875602d agoSKILL.md
Agent-Reachby Panniantong10089.8k18d agoCLAUDE.md
headroomby headroomlabs-ai10074.4ktodayCLAUDE.md
CowAgentby zhayujie10047.2ktodayCLAUDE.md
ai-job-searchby MadsLorentzen10044.9ktodayCLAUDE.md

Frequently asked questions

How do I install session-scan?
Run npx skills add oliver-kriska/claude-elixir-phoenix --skill session-scan. The install tabs above show the steps for each supported agent.
Which AI agents does session-scan work with?
It is written for Claude Code, as a SKILL.md file. Other agents that read the same format can often use it too.
Is session-scan safe to use?
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 session-scan still maintained?
The repository was last updated 2 days ago, so session-scan is actively maintained.

name: session-scan description: Compute metrics for Claude Code sessions. Discovers via ccrider, filters trivial, computes friction/opportunity/fingerprint scores. Use for broad session triage. argument-hint: "[--since DATE] [--project NAME] [--limit N] [--list] [--rescan]" disable-model-invocation: true

Session Scan (Tier 1)

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

  1. NEVER call get_session_messages in main context — WILL crash context
  2. ONE subagent per session — each fetches exactly ONE session
  3. mode="bypassPermissions" on every Task — subagents need Write+Bash
  4. Absolute paths in subagent prompts — subagents don't inherit context
  5. Result files, not direct append — avoid jsonl race conditions
  6. NEVER modify existing metrics.jsonl entries — append-only ledger
  7. ALWAYS delete temp and result files after processing

Related Skills

View on GitHub
GitHub Stars560
CategoryDevelopment
Updated2d ago
Forks44

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions