Capture session
Skill honerlaw/agent-marketplace/plugins/utils/skills/capture-session
A personal plugin marketplace for AI coding agents. Each plugin provides skills and automation scripts.
npx -y skills add honerlaw/agent-marketplace --skill capture-sessionAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Use when the user wants to analyze or record token/cost usage from a Claude Code session they just ran, in any repo. Finds the most recent transcript, runs the cost analyzer, and optionally records to the benchmark baseline.
SKILL.md
2.6 KB, 639 tokens by cl100k_base, as published. Nobody here has run it
Capture Session
Analyze and optionally record context usage from any completed Claude Code run.
Step 1 — Find the transcript
List the 10 most recently modified session transcripts across all projects:
ls -t ~/.claude/projects/*/*.jsonl 2>/dev/null | head -10
If the user mentions a specific repo, scope it. Encode the path by replacing / with -:
# e.g. /Users/foo/Development/my-repo → -Users-foo-Development-my-repo
ls -t ~/.claude/projects/-Users-derekhonerlaw-Development-<repo-name>/*.jsonl | head -5
Pick the most recently modified file. Confirm with the user if it's unclear which run they mean.
Step 2 — Analyze it
python3 /Users/derekhonerlaw/Development/agent-marketplace/scripts/run_analyzer.py <transcript.jsonl>
Show the user the full JSON output. Call out:
total_cost_usd— derived costtotals— breakdown of all five token classes (input, output, cache-write-5m, cache-write-1h, cache-read)by_model— per-model cost splitnum_subagent_messages— how many subagent turns firedby_tool— tool call counts
Step 3 — Record to baseline (optional)
Ask the user if they want to record this run to benchmarks/baseline.jsonl for comparison.
If yes, ask for a short task-id label (e.g. psa-add-feature, debug-run-1).
Interactive session (most common): No result.json exists. Write a stub and record:
echo '{"session_id": "unknown", "total_cost_usd": null, "num_turns": null}' > /tmp/_session_stub.json
python3 /Users/derekhonerlaw/Development/agent-marketplace/scripts/run_benchmark.py record \
--result /tmp/_session_stub.json \
--transcript <transcript.jsonl> \
--task-id <label>
cost_crosscheck_ok will be false (no claude -p result to cross-check against) but token counts are exact.
Headless session (claude -p --output-format json): The user has a result.json. Pass it directly:
python3 /Users/derekhonerlaw/Development/agent-marketplace/scripts/run_benchmark.py record \
--result <result.json> \
--transcript <transcript.jsonl> \
--task-id <label>
Compare two recorded runs
python3 /Users/derekhonerlaw/Development/agent-marketplace/scripts/run_benchmark.py diff \
--task-id <label>
Prints the delta (cost, tokens, turns, subagents) between the two most recent records for that task id.