Audit user stories against codebase and tests for tier-ranked coverage gaps. Use when running story audit, PRD reconciliation, or surfacing PRD-code drift.
Instrucciones de origen · Vista previa de solo lectura
created
"2026-04-25T00:00:00.000Z"
modified
"2026-08-08T00:00:00.000Z"
reviewed
"2026-04-25T00:00:00.000Z"
description
Audit user stories against codebase and tests for tier-ranked coverage gaps. Use when running story audit, PRD reconciliation, or surfacing PRD-code drift.
Reconcile what the codebase actually does against what the PRD says it should do, then map every story to its tests and rank the gaps. Produces one durable artifact: docs/blueprint/audits/<date>-story-audit.md.
This skill is read-only apart from the audit artifact. PRD edits live in /blueprint:story-reconcile; agent dispatch for gap-fill work lives in /blueprint:work-order.
Test directories: !find . -maxdepth 3 -type d \( -name tests -o -name __tests__ -o -name test -o -name spec \) -not -path '*/node_modules/*'
Repo root: !git rev-parse --show-toplevel
Today: !date -u +%Y-%m-%d
Parameters
Parse $ARGUMENTS:
--scope <area>: Limit discovery to a single capability area (e.g. auth, image-detection). Skips areas whose entry-point paths don't match the scope. Default: full repo.
--prd <path>: Override PRD auto-detection. Repeatable — pass multiple --prd flags for multi-PRD projects. Default: every *.md directly under docs/prds/.
--no-write: Print the audit to the conversation only; don't write to docs/blueprint/audits/.
--report-only: Skip the Step 8 "What next?" prompt. Useful when running this skill from another orchestrator.
Workflow harness (template)
workflows/blueprint-story-audit.workflow.js ships beside this skill. It is a TEMPLATE to adapt,
not a script to run verbatim. Read it, then rewrite it for the work in front of you.
Adapt freely: the agent prompts, the per-PRD and per-test-root fan-out width, the discovery
globs that enumerate args.prds / args.testRoots, the tier-cutoff heuristic wording, and the
project-specific commands in the Agentic Optimizations table below.
Preserve across any adaptation: (a) the fan-out width comes from args.prds and
args.testRoots — the ## Context block's find output, or the --prd flags — never from a
prose "for each PRD"; (b) the DRIFT_STATUS, CONFIDENCE, and TIER enums in the schemas, which
force a determinate verdict per row instead of a paragraph that reads like one, and the
tierCutoff field that makes Step 4's documented cutoff non-optional; (c) the parallel() at
Step 1 is a real barrier — every downstream join is a cross-lane fact (a capability with no
story; a story with no test), so no lane's output is usable until all three have landed.
Skip the harness when: the repo has one PRD and one test directory — the modal case, which
collapses to three agents total (capability + story + test) and is a linear pass where the harness
is pure overhead. The steps below remain the authoritative description of what each stage must
produce; the harness only fixes how the work is split.
Two constraints the template encodes because they are structure, not style:
The capability lane is always ONE agent. You cannot partition work by a partition the work
itself discovers — Agent 1's brief is literally "group by area", so the areas do not exist until
it has run. Only the per-PRD and per-test-root splits are enumerable up front.
Steps 2 and 4 stay agent stages, never JS. Step 2 mandates "verify with a quick file-level
read where ambiguous" and a workflow script has no filesystem; Step 4's core/non-core cutoff is
explicitly heuristic.
The template also carries this skill's own row caps unchanged — ROW_LIMIT = 200 from Step 1's
Agent 1 brief and AREA_ROW_LIMIT = 15 from the artifact template in
REFERENCE.md. They are not divided across lanes: the capability lane is a
single agent, so there is nothing to divide, and the PRD and test lanes are exhaustive extractions
("Don't infer — only extract", "List every test file") where a derived per-lane budget would
silently drop the stories and tests the audit exists to surface.
Execution
Execute this audit workflow. Each step is required unless its inputs are missing — in that case, note the missing input in the artifact and continue.
Step 1: Gather discovery inputs in parallel
Spawn three Explore subagents via the Task tool in parallel (single message, three tool calls). Each agent returns a structured findings list with file:line evidence; do not ask any agent to write the audit itself.
Agent 1 — Capability map:
Survey this codebase and list every user-facing capability. Group by area
(auth, billing, search, …). For each capability emit one row:
<area> | <capability> | <entry-point file:line> | <kind> where kind is
route, cli, event-handler, component, cron, or worker.
Flag dependencies that look declared-but-unused (imported library that
never has its main API called). Cap output at 200 rows; if a project is
larger, summarize tail areas as "+ N more in ". Read-only.
Agent 2 — Story extraction:
Read every PRD under {PRD paths from --prd or auto-detected}. Emit one
row per stated user story or functional requirement:
<PRD-id> | <story-id-or-section> | <verbatim user-visible behaviour> | <linked deps if any>. Also list any "Known Drift" or status-marked
entries verbatim. Don't infer — only extract. Read-only.
Agent 3 — Test inventory:
List every test file under {test directories from Context}. For each
file emit: <file> | <describe-or-suite> | <test-count> | <skipped-or-todo-count>.
When a file has a top-level comment or describe block citing a story
ID (PRD-NNN, FR-N.N, story-name), include it. Read-only.
Wait for all three to complete. If --scope <area> is set, filter Agent 1's rows to that area before moving on.
Step 2: Diff capabilities against stories
Build the drift report by joining Agent 1's capability map against Agent 2's story inventory. For each capability:
Status
Meaning
✅ implemented
Capability has a matching PRD story
⚠️ partial
PRD story exists but capability is missing significant sub-behaviour the story names
❌ missing
PRD story has no matching capability — feature declared but not built
🆕 candidate
Capability exists but no PRD story matches — implicit story
Match on substring overlap of capability name vs story title, then verify with a quick file-level read where ambiguous. Do not promote candidates into the PRD here — that is /blueprint:story-reconcile's job.
Also flag declared-but-unused dependencies from Agent 1's findings as ❌ missing drift entries (e.g. "tesseract listed in package.json but never imported").
Step 3: Map stories to tests
Build the coverage matrix: for every PRD story from Agent 2, find tests from Agent 3 that match by:
Explicit story-id reference in test file/describe (highest confidence)
Stories with zero matched tests become Tier-1 gap candidates.
Step 4: Tier-rank the gaps
Apply this default ranking. Override per-row only if the user passed explicit guidance.
Tier
Combination
Examples
1 — critical untested
core capability × zero tests
state machines, auth, payment paths
2 — partial coverage
core capability × ~ confidence tests only
UI flows tested only at the unit level
3 — declared drift
❌ missing PRD story
OCR named in PRD, never implemented
4 — implicit candidates
🆕 candidate from Step 2
code-only features awaiting story promotion
5 — healthy
✅ with ✓ tests
reference for "what good looks like"
The tier cutoff between core and non-core is heuristic: Agent 1's kind field is the strongest signal (route and event-handler lean core; component leans non-core). Document the cutoff used at the top of the artifact so the user can override.
Step 5: Surface bugs the audit found
If Agent 3 reported test.todo / xit / skip blocks with comments that read like bug reports (rather than "not yet implemented"), collect them into a Bugs surfaced by audit section with file:line + verbatim comment. Do not auto-file issues; the user decides.
Summary — counts and the headline number (e.g. "8 PRD requirements drift; 3 critical capability areas have zero tests")
Capability map — Agent 1's output, grouped by area
Story inventory — explicit (PRD) + candidate (code-only) lists
Drift report — table with the four-status enum from Step 2
Coverage matrix — story × tests with confidence column
Tiered gap analysis — Tier 1 → 5 with one-line "why this matters" per tier
Bugs surfaced by audit (only if Step 5 found any)
Set the artifact path to docs/blueprint/audits/<YYYY-MM-DD>-story-audit.md using the Today value from Context. If a file with that name exists, append -N (e.g. -2).
Step 7: Write the artifact and update the manifest
Skip this step if --no-write is set; print the artifact to the conversation instead.
mkdir -p docs/blueprint/audits
# Write artifact via Write tool to the path computed in Step 6.
Update the task registry in docs/blueprint/manifest.json. When the workflow harness ran, AUDIT_RESULT, STORY_COUNT, and TIER1_GAP_COUNT come from the composition agent's structured return (auditResult, storyCount, tier1GapCount) — do not recount them by hand:
Where AUDIT_RESULT is "success", "{N} drift entries", or "failed: {reason}".
Step 8: Offer next actions
Skip this step if --report-only is set.
This step stays in the skill — a workflow cannot AskUserQuestion, so it has no orchestrated form. --report-only is the path an orchestrator (or the harness) takes.
Use AskUserQuestion to offer the three downstream paths the audit unlocks:
Reconcile drift in the PRD → run /blueprint:story-reconcile against this audit
Dispatch a work-order for a Tier-1 gap → recommend the user run /blueprint:work-order per row (a user-invocable command — surface it for the user to run, don't invoke it via the Skill tool)
I'll act on the artifact later → exit; the artifact is the durable output
Don't loop. The audit is the durable artifact; the user owns the next step.
Heuristics, templates, and edge cases
For the implicit-story detection heuristics by stack (TypeScript/Python/Go), the audit-artifact template, the tier-ranking rationale, and how the skill behaves with no PRD or no tests, see REFERENCE.md.
