Sessions that ran Workflow-substrate pipelines read as near-zero
subagent spend: analyze_subagents() globs one level only, while
Workflow runs log under workflows/wf_*.json (per-agent summary) and
subagents/workflows/<runId>/agent-*.jsonl (raw usage). New
analyze_workflows() joins both — raw transcripts authoritative
(dedup by requestId, as everywhere), summary supplies stage labels
and models, label-prefix grouping (impl:3 -> impl), untracked
transcripts isolated under '?'. Report gains workflows[] and
workflow_totals; totals now include workflow spend.
Live check against a real 17-agent workflow run: raw 1.30M vs
reported 1.22M (the live counter's known ~7-11% under-tracking).
closes#28
The default project log dir is derived from cwd, so a session run inside a
git worktree resolves to a different slug than the primary clone. Document
that, and point at --project-dir / --file to grade a worktree run.
closes#18
The profile was never parsed — it was prose the skill bodies told the model to read, so most slots were dead, constant across every project, or fiction (the whole pipeline block, including the "tdd is opt-in" claim, was enforced by nothing).
Split it in two: constants become fixed conventions named directly by the skills (new docs/conventions.md), and the few genuinely per-project facts move to each project's CLAUDE.md under '## Skills plugin: project facts'. tdd/fieldtest/docwriter are now always available; the only behavioural toggle left is spec auto-sign.
Delete docs/profile-schema.md and templates/project-profile.yml; add docs/conventions.md and a project-facts section to templates/CLAUDE.md.fragment; rewrite all SKILL/agent prose and the pipeline/design/migration/README/INSTALL docs accordingly.
Remove the price-table cost derivation entirely. The transcript carries
no metered cost, and list prices vary by plan — so converting tokens to
a dollar figure dressed an estimate up as a number. Report raw token
counts instead, kept split by class (input / output / cache-creation /
cache-read) with a `total_tokens` sum per scope.
Script: drop DEFAULT_PRICING / load_pricing / rate_for / cost_of and the
--pricing flag; aggregate_transcript and analyze_subagents no longer take
a pricing arg; every `cost_usd` field becomes `total_tokens`; the pricing
warning is gone. SKILL.md: the first graded axis is now "Token spend &
efficiency", the scorecard and output format cite token counts, and the
Iron Law / Red Flags now forbid converting tokens to a cost.
cache_hit_ratio and the active-session warning are unchanged.
A new utility skill that grades a finished session on three axes —
cost & efficiency, toolchain health, agent effectiveness — from the
session's own Claude Code flight recorder (the JSONL transcript plus
one sidechain log per dispatched subagent).
The heavy lifting lives in scripts/postmortem.py, a stdlib-only,
read-only aggregator. It handles the two accounting traps the raw log
sets: usage is repeated per streamed assistant line under a shared
requestId (deduped max-per-field, then summed across requests), and
the transcript carries no costUSD/durationMs (both null) — so cost is
derived from tokens x an overridable list-price table and labelled an
estimate, wall-clock from timestamp deltas. Subagent spend is billed
separately from its own usage objects and graded by terminal status.
Single-session by design: defaults to the newest transcript in the
project's log dir (flagged active if still live), or --session <id>
for a finished run. Secret files are out of bounds in both the Iron
Law and the Red Flags.
Verified end-to-end against a real 15-subagent session.
claude
Brummel