Merge pull request 'fix: feat: triage formula template with generic investigation steps and best practices (#342)' (#347) from fix/issue-342 into main
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# formulas/triage.toml — Triage-agent formula
# formulas/triage.toml — Triage-agent formula (generic template)
#
# Declares the triage-agent's runtime parameters.
# The dispatcher reads this to configure the sidecar container.
# This is the base template for triage investigations.
# Project-specific formulas (e.g. formulas/triage-harb.toml) extend this by
# overriding the fields in the [project] section and providing stack-specific
# step descriptions.
#
# Triggered by: bug-report + in-triage label combination.
# Set by the reproduce-agent when:
@ -9,38 +11,253 @@
# - Quick log analysis did not reveal an obvious root cause
# - Reproduce-agent documented all steps taken and logs examined
#
# What it does:
# 1. Reads reproduce-agent findings from issue comments (do not repeat work)
# 2. Deep-traces the data flow from symptom to source:
# UI component → composable → API/GraphQL → indexer → chain
# - Compare what the code expects vs what APIs actually return
# - Create a throwaway branch, add debug instrumentation (console.log, verbose logging)
# - Restart services, re-run reproduction, observe new output
# - Delete throwaway branch when done
# 3. Decomposes all root causes (may be 1 or multiple compounding):
# - For each root cause, create a separate backlog issue with:
# * Which cause it is (1 of N)
# * Specific code path and fix suggestion
# * Depends-on: #X if causes are layered
# 4. Updates original issue:
# - Posts summary: "Found N root causes, tracked as #X, #Y, #Z"
# - Replaces in-triage with in-progress
# Steps:
# 1. read-findings — parse issue comments for prior reproduce-agent evidence
# 2. trace-data-flow — follow symptom through UI → API → backend → data store
# 3. instrumentation — throwaway branch, add logging, restart, observe
# 4. decompose — file backlog issues for each root cause
# 5. link-back — update original issue, swap in-triage → in-progress
# 6. cleanup — delete throwaway debug branch
#
# Best practices:
# - Start from reproduce-agent findings; do not repeat their work
# - Budget: 70% tracing data flow, 30% instrumented re-runs
# - Multiple causes: check if layered (Depends-on) or independent (Related)
# - Always delete the throwaway debug branch before finishing
# - If inconclusive after full turn budget: leave in-triage, post what was
# tried, do NOT relabel — supervisor handles stale triage sessions
#
# Project-specific formulas extend this template by defining:
# - stack_script: how to start/stop the project stack
# - [project].data_flow: layer names (e.g. "chain → indexer → GraphQL → UI")
# - [project].api_endpoints: which APIs/services to inspect
# - [project].stack_lock: stack lock configuration
# - Per-step description overrides with project-specific commands
#
# No hard timeout — runs until Claude hits its turn limit.
# Stack lock held for full run (triage is rare; blocking CI is acceptable).
#
# stack_script: path (relative to PROJECT_REPO_ROOT) of the script used to
# restart/rebuild the project stack. Leave empty ("") to connect to an
# existing staging environment instead.
#
# tools: MCP servers to pass to claude via --mcp-server flags.
name = "triage"
description = "Deep root cause analysis: trace data flow, add debug instrumentation, decompose causes into backlog issues."
version = 1
version = 2
# Set stack_script to the restart command for local stacks.
# Leave empty ("") to target an existing staging environment.
# Leave empty ("") to connect to an existing staging environment.
stack_script = ""
tools = ["playwright"]
# ---------------------------------------------------------------------------
# Project-specific extension fields.
# Override these in formulas/triage-<project>.toml.
# ---------------------------------------------------------------------------
[project]
# Human-readable layer names for the data-flow trace (generic default).
# Example project override: "chain → indexer → GraphQL → UI"
data_flow = "UI → API → backend → data store"
# Comma-separated list of API endpoints or services to inspect.
# Example: "GraphQL /graphql, REST /api/v1, RPC ws://localhost:8545"
api_endpoints = ""
# Stack lock configuration (leave empty for default behavior).
# Example: "full" to hold a full stack lock during triage.
stack_lock = ""
# ---------------------------------------------------------------------------
# Steps
# ---------------------------------------------------------------------------
[[steps]]
id = "read-findings"
title = "Read reproduce-agent findings"
description = """
Before doing anything else, parse all prior evidence from the issue comments.
1. Fetch the issue body and all comments:
curl -sf -H "Authorization: token ${FORGE_TOKEN}" \
"${FORGE_API}/issues/${ISSUE_NUMBER}" | jq -r '.body'
curl -sf -H "Authorization: token ${FORGE_TOKEN}" \
"${FORGE_API}/issues/${ISSUE_NUMBER}/comments" | jq -r '.[].body'
2. Identify the reproduce-agent comment (look for sections like
"Reproduction steps", "Logs examined", "What was tried").
3. Extract and note:
- The exact symptom (error message, unexpected value, visual regression)
- Steps that reliably trigger the bug
- Log lines or API responses already captured
- Any hypotheses the reproduce-agent already ruled out
Do NOT repeat work the reproduce-agent already did. Your job starts where
theirs ended. If no reproduce-agent comment is found, note it and proceed
with fresh investigation using the issue body only.
"""
[[steps]]
id = "trace-data-flow"
title = "Trace data flow from symptom to source"
description = """
Systematically follow the symptom backwards through each layer of the stack.
Spend ~70% of your total turn budget here before moving to instrumentation.
Generic layer traversal (adapt to the project's actual stack):
UI API backend data store
For each layer boundary:
1. What does the upstream layer send?
2. What does the downstream layer expect?
3. Is there a mismatch? If yes is this the root cause or a symptom?
Tracing checklist:
a. Start at the layer closest to the visible symptom.
b. Read the relevant source files do not guess data shapes.
c. Cross-reference API contracts: compare what the code sends vs what it
should send according to schemas, type definitions, or documentation.
d. Check recent git history on suspicious files:
git log --oneline -20 -- <file>
e. Search for related issues or TODOs in the code:
grep -r "TODO\|FIXME\|HACK" -- <relevant directory>
Capture for each layer:
- The data shape flowing in and out (field names, types, nullability)
- Whether the layer's behavior matches its documented contract
- Any discrepancy found
If a clear root cause becomes obvious during tracing, note it and continue
checking whether additional causes exist downstream.
"""
needs = ["read-findings"]
[[steps]]
id = "instrumentation"
title = "Add debug instrumentation on a throwaway branch"
description = """
Use ~30% of your total turn budget here. Only instrument after tracing has
identified the most likely failure points do not instrument blindly.
1. Create a throwaway debug branch (NEVER commit this to main):
cd "$PROJECT_REPO_ROOT"
git checkout -b debug/triage-${ISSUE_NUMBER}
2. Add targeted logging at the layer boundaries identified during tracing:
- Console.log / structured log statements around the suspicious code path
- Log the actual values flowing through: inputs, outputs, intermediate state
- Add verbose mode flags if the stack supports them
- Keep instrumentation minimal only what confirms or refutes the hypothesis
3. Restart the stack using the configured script (if set):
${stack_script:-"# No stack_script configured — restart manually or connect to staging"}
4. Re-run the reproduction steps from the reproduce-agent findings.
5. Observe and capture new output:
- Paste relevant log lines into your working notes
- Note whether the observed values match or contradict the hypothesis
6. If the first instrumentation pass is inconclusive, iterate:
- Narrow the scope to the next most suspicious boundary
- Re-instrument, restart, re-run
- Maximum 2-3 instrumentation rounds before declaring inconclusive
Do NOT push the debug branch. It will be deleted in the cleanup step.
"""
needs = ["trace-data-flow"]
[[steps]]
id = "decompose"
title = "Decompose root causes into backlog issues"
description = """
After tracing and instrumentation, articulate each distinct root cause.
For each root cause found:
1. Determine the relationship to other causes:
- Layered (one causes another) use Depends-on in the issue body
- Independent (separate code paths fail independently) use Related
2. Create a backlog issue for each root cause:
curl -sf -X POST "${FORGE_API}/issues" \\
-H "Authorization: token ${FORGE_TOKEN}" \\
-H "Content-Type: application/json" \\
-d '{
"title": "fix: <specific description of root cause N>",
"body": "## Root cause\\n<exact code path, file:line>\\n\\n## Fix suggestion\\n<recommended approach>\\n\\n## Context\\nDecomposed from #${ISSUE_NUMBER} (cause N of M)\\n\\n## Dependencies\\n<#X if this depends on another cause being fixed first>",
"labels": ["backlog"]
}'
3. Note the newly created issue numbers.
If only one root cause is found, still create a single backlog issue with
the specific code location and fix suggestion.
If the investigation is inconclusive (no clear root cause found), skip this
step and proceed directly to link-back with the inconclusive outcome.
"""
needs = ["instrumentation"]
[[steps]]
id = "link-back"
title = "Update original issue and relabel"
description = """
Post a summary comment on the original issue and update its labels.
### If root causes were found (conclusive):
Post a comment:
"## Triage findings
Found N root cause(s):
- #X — <one-line description> (cause 1 of N)
- #Y — <one-line description> (cause 2 of N, depends on #X)
Data flow traced: <layer where the bug originates>
Instrumentation: <key log output that confirmed the cause>
Next step: backlog issues above will be implemented in dependency order."
Then swap labels:
- Remove: in-triage
- Add: in-progress
### If investigation was inconclusive (turn budget exhausted):
Post a comment:
"## Triage — inconclusive
Traced: <layers checked>
Tried: <instrumentation attempts and what they showed>
Hypothesis: <best guess at cause, if any>
No definitive root cause identified. Leaving in-triage for supervisor
to handle as a stale triage session."
Do NOT relabel. Leave in-triage. The supervisor monitors stale triage
sessions and will escalate or reassign.
"""
needs = ["decompose"]
[[steps]]
id = "cleanup"
title = "Delete throwaway debug branch"
description = """
Always delete the debug branch, even if the investigation was inconclusive.
1. Switch back to the main branch:
cd "$PROJECT_REPO_ROOT"
git checkout "$PRIMARY_BRANCH"
2. Delete the local debug branch:
git branch -D debug/triage-${ISSUE_NUMBER}
3. Confirm no remote was pushed (if accidentally pushed, delete it too):
git push origin --delete debug/triage-${ISSUE_NUMBER} 2>/dev/null || true
4. Verify the worktree is clean:
git status
git worktree list
A clean repo is a prerequisite for the next dev-agent run. Never leave
debug branches behind they accumulate and pollute the branch list.
"""
needs = ["link-back"]