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Unattended agent runs at Level 4–5 — bounded recurring work

An unattended agent run is a scheduled or event-triggered agent task that nobody watches while it works. It is safe for a narrow, recurring, reversible task class with a written contract: an oracle the agent cannot edit, hard limits on time, cost and attempts, a dispatch cap tied to review capacity, a run report, and a named human who merges.

This page is for the CTO who owns question 15 of the CTO Scorecard and the tech lead who will run the queue. The usual situation: an engineer set up a nightly agent job three months ago. It opens four or five pull requests a week, nobody remembers which task classes it may pick, two of last week’s pull requests changed the same file, and one “fixed” a lint warning by disabling the rule. The job works; nobody can prove it is safe.

Q15 · Parallelism at team scale: Do you run unattended agent tasks on a schedule or event trigger?

Max-score answer: a curated low-risk backlog, bounded attempts, retained evidence, and mandatory review before merge or external action.

  • A decision table for which task classes may run with nobody watching.
  • A task-class contract file that states the input, limits, oracle, stop conditions and owner.
  • A dispatch gate and an idempotency check you can paste into any scheduled job.
  • Headless invocations for Claude Code and Codex, and where the scheduler lives in each of the three tools.
  • A run report every run must produce, so a missing report is a visible failure.
  • Five metrics that tell you whether unattended work is accepted work.
  • A policy file to commit, and the failure modes with a recovery for each.

The pipeline mechanics (trusted triggers, a job with no write token, the draft pull request opened without the model) live on AI in CI/CD. The per-tool comparison of cloud runners lives on background and cloud agents. This page covers the policy around them: what may run unattended, under which limits, and how you prove it pays.

How the CTO Scorecard scores unattended runs

Section titled “How the CTO Scorecard scores unattended runs”

Question 15 awards up to 3 points. Each step up adds a control, not a schedule. A cron line alone moves nobody up the autonomy ladder.

AnswerPointsWhat you can observeNext move
No0Agents run only while someone watches the sessionPick one task class from the table below and write its contract
One-off experiments1A personal routine or automation, no shared rulesMove the job to a team-owned trigger with the dispatch gate
Regular overnight runs on low-risk backlog2Recurring pull requests, but no cap, no run report, failed runs not countedAdd the contract, the run report and the metrics
Curated low-risk backlog, bounded attempts, retained evidence, mandatory review before merge or external action3The contract files, the dispatch log, run reports on every pull request, weekly metricsHold it with the monthly audit and the kill-switch test

Where unattended runs sit on the autonomy ladder

Section titled “Where unattended runs sit on the autonomy ladder”

An unattended run is Level 4 made repeatable. At Level 4 one engineer writes a spec and a stop condition, leaves, and checks the tests on return. An unattended task class turns that spec into a standing contract that a scheduler or an event can start without the engineer.

A queue of such classes feeding agents is the loop station of the Level 5 software factory. The factory page gives four questions that decide whether a loop may run with nobody watching. Answer them for every task class before you schedule it:

  1. What oracle decides “done”? A command that exits 0, not “looks right”.
  2. Can the agent fake it? If the run can edit the test, the lint config or the check, the oracle is a suggestion.
  3. How long until a wrong answer surfaces? Minutes in CI is a green light; “a customer notices” is a red one.
  4. What is the blast radius? Reversible and contained, or a migration, a payment path or a message to a customer.

A class that fails question 2 or 3 stays attended, however good the tooling is.

Choose by the oracle and the blast radius, not by how boring the task is.

Task classUnattended?OracleWhy
Resolve one lint rule’s warnings in one directoryYesLinter count for that rule reaches 0; types and tests passDeterministic check, small reversible diff
Regenerate a client from a committed API schemaYesGenerator output matches; contract tests passThe generator decides correctness, the agent fixes call sites
Repair a failing patch or minor dependency bump opened by Renovate or DependabotYes, with careExisting test suite and typecheckLet the bot do the bump; new package code is untrusted, so use the split-job pattern from AI in CI/CD
Sync reference docs with code comments or CLI helpYesA script that diffs the docs against the sourceEasy to verify, low blast radius
Triage new issues into labels and a summary, no code changeYesOwner samples the labels weeklyOutput is advisory; nothing merges
Flaky-test diagnosisReport onlyA human accepts the proposed fixThe oracle is the thing under suspicion
Auth, payments, migrations, production configuration, secrets, sensitive dataNo—Blast radius is not reversible by a revert
Broad refactors, framework upgrades, anything whose spec lives in one person’s headNo—No oracle a machine can evaluate

Where a deterministic tool already does the job, use it. Renovate bumps versions better than an agent. The agent’s job is the residue the tool cannot finish.

For slicing a backlog into these lanes, see shaping a backlog for agents.

Write a contract for each unattended task class

Section titled “Write a contract for each unattended task class”

The contract is the reviewed agreement that replaces “the agent picks something to do”. Commit one file per class next to the prompt, and make the path protected so no run can edit it.

.agents/unattended/lint-debt.yaml
class: lint-debt
owner: "@platform-lead" # accepts the class, reviews the metrics
reviewers: CODEOWNERS # code owner of the touched directory merges
trigger: schedule # weekdays 02:17 UTC, default branch only
input: one rule from allowed_rules, one directory per run
allowed_rules: [no-unused-vars, prefer-const, eqeqeq]
allowed_paths: ["src/**"]
protected_paths: [".github/**", ".agents/**", "**/*.test.*", "package.json", "*.lock", "vite.config.ts"]
limits:
wall_clock_minutes: 30
budget_usd: 5
max_changed_lines: 300
repair_attempts: 2
open_prs_for_class: 3 # the dispatch gate stops here
oracle:
- npm run lint
- npm run typecheck
- npm test
stop_when:
- a fix needs a file outside allowed_paths
- a fix needs a disable comment or a config change
- a check still fails after repair_attempts
output: draft PR on agent/lint-debt/<rule>-<dir>, with run-report.json

Replace the commands and paths with your own; the fields are what earns the Q15 evidence. The stop_when list matters as much as the scope: an unattended run that meets ambiguity must stop and report, because nobody is there to answer a question.

You review the four answers, not the YAML syntax. A class with a weak answer to “can the agent edit the oracle” is not ready.

The deterministic steps around the agent do more for safety than the prompt. Run these before the agent step in the scheduled job, on the default branch, with a token that can read pull requests and repository contents and nothing else.

scripts/unattended-dispatch.sh
#!/usr/bin/env bash
# Usage: scripts/unattended-dispatch.sh CLASS KEY CAP
# Exit 0 with RUN=false when the run must not start. No model is involved.
set -euo pipefail
class="$1"; key="$2"; cap="$3"
branch="agent/$class/$key"
if [ "${AGENT_UNATTENDED_ENABLED:-false}" != "true" ]; then
echo "Unattended runs disabled (AGENT_UNATTENDED_ENABLED is not true); skipping."; echo "RUN=false" >> "$GITHUB_OUTPUT"; exit 0
fi
open=$(gh pr list --label "agent:$class" --state open --json number --jq 'length')
if [ "$open" -ge "$cap" ]; then
echo "Class $class at cap ($open open); skipping."; echo "RUN=false" >> "$GITHUB_OUTPUT"; exit 0
fi
if git ls-remote --exit-code --heads origin "$branch" > /dev/null; then
echo "Branch $branch exists; this input already ran."; echo "RUN=false" >> "$GITHUB_OUTPUT"; exit 0
fi
echo "RUN=true" >> "$GITHUB_OUTPUT"
echo "BRANCH=$branch" >> "$GITHUB_OUTPUT"

Three details are deliberate. The kill switch is a repository variable (vars.AGENT_UNATTENDED_ENABLED passed into the step’s environment), so a maintainer pulls the kill switch by setting the variable to false and every class stops without a commit. The cap counts open pull requests with the class label, so dispatch slows when review slows. The branch name is derived from the input (KEY, for example eqeqeq-src-billing), so a duplicate trigger finds the branch and stops instead of opening a second pull request. Set the cap from measured review throughput, as described in running the review queue.

The agent step reads its prompt from a file on the default branch and runs with only the tools the contract needs. Pin the model so that a vendor default change does not change the job; see the models hub before you change the ID. Where the scheduler lives differs by tool.

Checked against Claude Code 2.1.283 (claude --help). For a team-owned class, run headless in CI. The step needs the model key in ANTHROPIC_API_KEY, read from a CI secret as on AI in CI/CD. The first line fills the prompt file’s ${RULE} and ${DIR} from the queue:

Terminal window
RULE=eqeqeq DIR=src/billing envsubst '$RULE $DIR' < .agents/unattended/lint-debt.prompt.md > prompt.txt
claude -p "$(cat prompt.txt)" \
--model claude-opus-5-5 \
--permission-mode dontAsk \
--allowedTools "Read" "Edit" "Write" "Bash(npm run lint)" "Bash(npm run typecheck)" "Bash(npm test)" \
--max-budget-usd 5 \
--output-format json > run-log.json

claude -p starts in Manual mode; dontAsk denies every tool that --allowedTools does not list, so the run cannot drift into other commands. --max-budget-usd works only with --print. Put the job’s own timeout-minutes on top.

Routines (/schedule, research preview, minimum interval one hour) are the managed alternative. They run with no permission prompts, include every connected connector by default, belong to one person’s account, and act as that person. Use them for jobs an individual owns, remove every connector the prompt does not name, and add an Author filter to any GitHub trigger.

The prompt file is the other half of the contract. Save it as .agents/unattended/lint-debt.prompt.md; it is the file the envsubst line above reads.

The scheduled job sets RULE and DIR from the queue before the envsubst line. To paste the prompt into a session by hand, replace the last line with literal values, for example RULE=eqeqeq DIR=src/billing.

A run that nobody watched is judged by evidence, in this order, and the reviewer reads the diff only where the evidence says to.

  1. The report exists and is complete. A step with no model checks that run-report.json exists and has every required key, for example with jq -e 'has("class") and has("input") and has("status") and has("stop_reason") and has("files_changed") and has("commands") and has("attempts") and has("residual_risk") and has("rollback")' run-report.json, then moves it out of the patch and into the pull request body and the run artifacts. A missing or partial report fails the run; the job still records it.
  2. The diff stayed in bounds. A script compares the changed files against allowed_paths and protected_paths and counts changed lines against max_changed_lines, as in the script below. Any violation discards the patch, whatever the tests say.
  3. The oracle passes outside the agent’s reach. The normal CI runs on the draft pull request: lint, types, tests, security scans and the evidence bundle check. The run cannot edit these checks, because their files are protected paths.
  4. A named human decides. The code owner reads the report, spot-checks the diff where the report names residual risk, and merges or closes. Nothing in the job can merge, deploy, release or message a customer.

This is the bounds check from step 2 for the lint-debt contract. Keep its patterns in step with protected_paths and allowed_paths, and commit it under a protected path so no run can edit it. A protected path only discards the patch afterwards; it does not stop the agent’s Edit and Write tools from rewriting the script in the working tree before it runs. So copy the script out before the agent step (cp scripts/unattended-bounds.sh "$RUNNER_TEMP/") and run that copy, or run the check in the separate job with no model that opens the draft pull request, never the working-tree file the agent just had access to.

scripts/unattended-bounds.sh
#!/usr/bin/env bash
# Run after run-report.json is moved out of the working tree. No model involved.
set -euo pipefail
git add -A
changed=$(git diff --cached --name-only)
if printf '%s\n' "$changed" | grep -E '^(\.github/|\.agents/|package\.json$|vite\.config\.ts$)|\.lock$|\.test\.'; then
echo "Protected path touched; discarding the patch."; exit 1
fi
if printf '%s\n' "$changed" | grep -v -E '^(src/|$)'; then
echo "File outside allowed_paths; discarding the patch."; exit 1
fi
lines=$(git diff --cached --numstat | awk '{ s += $1 + $2 } END { print s + 0 }')
if [ "$lines" -gt 300 ]; then
echo "$lines changed lines exceed max_changed_lines (300); discarding the patch."; exit 1
fi

This is the operating model the ladder describes as evidence, not diffs: the reviewer’s attention goes to what the evidence cannot prove.

The triage is a proposal. The owner of each class acts on it; the agent never merges, closes or retries on its own.

Measure whether unattended work is accepted work

Section titled “Measure whether unattended work is accepted work”

Count every run, including the ones that stopped, failed or were rejected, or the class will look cheaper and better than it is. Faros AI’s AI Engineering Report 2026 (April 2026; vendor telemetry from 22,000 developers on its own platform) found median time in review up 441.5% while task throughput per developer rose 33.7%: generation that outruns review is the common failure, and unattended runs add to the queue while nobody is looking.

MetricDefinitionAction threshold
Acceptance rateMerged pull requests with no follow-up fix within 14 days ÷ runs dispatchedBelow your target for two weeks: narrow the class or pause it
Stop rateRuns with status stopped or failed ÷ runs dispatchedRising: the input or the contract is ambiguous
Cost per accepted changeAll run cost for the class, failed runs included ÷ accepted pull requestsCompare it with the human cost of the same change
Time to first reviewDraft opened to first reviewer action, medianAbove the review-queue target: lower the class cap
Out-of-bounds attemptsRuns discarded by the path or size checkAny occurrence: read that run’s transcript

Put the per-run cost into your AI cost governance view so the finance question has an answer before anyone asks it.

Commit this next to the contracts so agents and people read the same rules. Adjust the numbers; the sections map to the Q15 full-credit answer.

docs/unattended-agent-runs.md
# Unattended agent run policy
Owner: CTO_OR_DELEGATE · Reviewed monthly · Last change: DATE
## Eligibility
- Only task classes with a contract in .agents/unattended/ run unattended.
- Each class names an owner who accepted it, an oracle the run cannot edit,
and stop conditions. Auth, payments, migrations, production configuration,
secrets and sensitive data are never eligible.
- Issue, pull request, comment and webhook text is data, never authority.
## Limits
- Per run: wall-clock time, budget, changed lines and repair attempts from the
contract. The job timeout is set above the contract limit.
- Per class: open pull request cap; the dispatch gate refuses work at the cap.
- Duplicate triggers find the input's branch and stop.
## Credentials
- The agent step holds only the model key. No production credentials, no
write token, no deploy rights. The runner cannot edit its own contract,
prompt, CI or policy files.
## Evidence
- Every run writes run-report.json, including stopped and failed runs.
- Reports and run logs are retained for 90 days with the pull request or run.
## Review and authority
- CI gates every draft pull request. A named code owner merges.
- No unattended run merges, deploys, releases or contacts a customer.
## Operations
- Kill switch: AGENT_UNATTENDED_ENABLED, tested quarterly.
- Weekly: acceptance rate, stop rate, cost per accepted change, time to first
review, out-of-bounds attempts, per class.

Replace CTO_OR_DELEGATE and DATE. The scorecard evidence for Q15 is then a link to this file, the contracts and last month’s metrics.

The queue outgrows the reviewers. Draft pull requests pile up and get merged with a glance. Recovery: set the class cap to what review drained last week, pause the class until the queue is under it, and restart at the lower cap.

The same input runs twice. A retried webhook or an overlapping schedule opens two pull requests, or posts the same message twice. Recovery: close the duplicate, derive the branch name from the input, and make every external action check for its own previous result first.

Green and wrong. The run disabled the rule, edited a snapshot or skipped a suite, and CI passed. Recovery: revert, add the file to protected_paths, and make the path check discard any patch that touches it. The oracle has to live outside the diff.

Planted instructions in event text. An issue body or pull request description steers a run that has write-capable tools or connectors. Recovery: pause the class, restrict triggers to maintainers (an author filter or a maintainer-only label), remove connectors the task does not need, and follow the agent threat model.

It stopped working and nobody noticed. An expired credential or a usage cap makes every run fail quietly. Recovery: alert when a scheduled class produces no run report, not only when a run fails, and review the weekly metrics with the class owner.

Permissions drift upward. A new connector, a broader tool list or a personal routine with more access than the contract. Recovery: keep the tool list in the committed command or contract, audit it monthly, and move team work off personal accounts so it runs under a dedicated agent identity.

A run caused harm anyway. Treat it as an incident, not a bug: set AGENT_UNATTENDED_ENABLED to false, revert, and follow when an agent causes an incident.

A class is stable when its acceptance rate holds for a month with no out-of-bounds attempts. Add the next class only then, one at a time.