Defining Instrumentation

If any input is missing, ask for it before producing a final plan. If the user wants a fast start, produce a draft plan and explicitly mark assumptions.

Outputs (deliverables)

• Instrumentation Plan (primary artifact)
• Evidence Checklist with commands/methods, expected outputs, and thresholds
• Fallback Plan if primary signals are blocked or flaky

Operating principles

• Triangulate evidence for high stakes: at least two independent signals.
• Prefer deterministic signals: tests, schema checks, invariant probes.
• Make failures actionable: each signal suggests a likely fix.
• Keep it local unless approved: avoid external services by default.
• Instrument before execute: plan signals first, then run.

Degrees of freedom

• High (explore): gather risks, map success criteria, propose signals.
• Medium (shape): select minimal set of signals, define thresholds.
• Low (execute): provide commands to run; do not run unless asked.

Keep phases separate: decide → configure → execute.

Core workflow (use this every time)

1) Clarify scope and success criteria

• Restate the goal and success criteria in your own words.
• Identify top 1–2 risks or failure modes.
• Confirm constraints and tooling.

Checklist:

• What must be true for success?
• What could go wrong?
• What evidence would convince a skeptical reviewer?

2) Map criteria to signals

For each success criterion, pick at least one signal. For each top risk, add a signal. Select the smallest set that still convinces.

Signal selection rules:

• Each criterion has a primary signal with a pass/fail threshold.
• Each critical risk has a dedicated signal.
• Add a fallback if a primary signal may be flaky or blocked.

3) Specify evidence artifacts

For each signal, define:

• Command/Method
• Expected output or threshold
• Evidence artifact (e.g., test output, log snippet, snapshot file)

4) Assemble the instrumentation plan

Use the template in this file and produce:

• Primary signals (must pass)
• Secondary signals (nice-to-have)
• Fallbacks
• Validation notes

5) Review for sufficiency

• Are the signals reproducible locally?
• Are thresholds explicit?
• Are signals independent when stakes are high?
• Are failure modes actionable?

If not, adjust before finalizing.

Signal catalog (core summary)

Use this list to select signals. Prefer deterministic signals first.

Tests

• Unit tests for logic boundaries
• Integration/contract tests for interfaces
• Property-based tests for invariants
• Regression tests for prior bugs

Runtime probes

• CLI outputs, migrations, schema dumps
• Health checks (startup, endpoint ping)
• Log inspection (error counts, warnings)

Browser and UI

• Playwright flows with assertions
• Screenshot diffs for layout regressions
• Smoke tests for extension/popup flows

Quality evals

• Retrieval relevance evals with gold queries
• Snapshot diffs for before/after ranking
• LLM eval harnesses for semantic behavior

Performance and load

• Local load tests or scripted loops
• Latency/error thresholds (p95, error rate)
• CPU/memory sampling if available

Data integrity

• Row counts/checksums pre/post
• Referential integrity checks
• Guardrails for destructive operations

Strategy selection checklist

• Map each success criterion to a signal.
• Add a signal for each top risk.
• Define explicit thresholds (pass/fail, error budget, p95).
• Ensure reproducible and local execution.
• Add a fallback for each critical check.

Evidence template (use in every response)

Instrumentation Plan Goal: Primary risks:

Primary signals (must pass):

1. Signal: Command/Method: Expected output/threshold: Evidence artifact:

Secondary signals (nice-to-have):

1. Signal: Command/Method: Expected output/threshold:

Fallbacks if blocked:

1. ...

Validation notes:

• How evidence will be recorded (logs, snapshots, test output).

Examples (condensed)

Example: New tool behavior

• Primary: contract test for payload shape
• Primary: smoke test calling tool with known data
• Secondary: log inspection for enqueue

Example: Search relevance tweak

• Primary: golden query eval with top-N expected
• Primary: snapshot diff for ranking changes
• Secondary: manual spot-check (3 queries)

Example: UI change

• Primary: Playwright flow asserts render + action
• Primary: screenshot diff for regressions
• Secondary: console log scan

Example: Background job scheduling

• Primary: startup health check
• Primary: log probe for schedule interval
• Secondary: data probe for updated rows

Example: SQL guardrails

• Primary: negative tests for blocked statements
• Primary: positive tests for safe queries
• Secondary: timeout guardrail validation

Escalation guidance

If constraints or missing tooling block strong evidence:

• Propose minimal additional tooling.
• Offer a weaker deterministic fallback.
• Call out residual risks explicitly.

Definition of done

• A concrete, runnable instrumentation plan exists.
• Each success criterion is mapped to evidence.
• Risks have explicit checks and thresholds.
• Fallbacks listed for flaky/blocked signals.

Specialist references (optional)

Use these only if deeper context is needed:

• references/strategist-core.md
• references/instrumentation-catalog.md
• references/examples.md
• templates/instrumentation-plan.md