Skip to content
cccskills
FreePublished on GitHubEnglish overview

tech-debt-burndown

For authorized GitHub CLI maintainer work, this skill selects one small, verifiable technical debt issue, fixes it, tests the change against a recorded baseline, and opens a review-ready pull request. It follows repository rules and stops when preconditions or validation fail.

OriginalShow the original description

Use when running an established, authorized GitHub CLI maintainer tech-debt burndown, whether scheduled or manually invoked.

cli/cli46,751 stars(GitHub 46,751 + cccskills 0)
Works withGitHub

Run score Not tested

See how to install

Good for

  • Run an authorized scheduled maintenance pass
  • Fix one small, measurable code issue
  • Prepare a focused pull request for review
  • Compare validation results with a clean baseline

Overview

What it does

This skill handles technical debt as GitHub CLI maintainer work. It selects one issue, makes a small, verifiable fix, tests it, and opens a pull request for human review. Before editing, it records the results of checks on the clean baseline. After the change, it runs the same checks and tests so existing failures can be distinguished from failures introduced by the fix. It can attempt up to three candidate issues, but submits only one successful change.

When it helps

Use it for scheduled or manually started maintenance that has already been authorized. It is suited to small changes that are easy to verify and review, with validation results included in the pull request. It does not independently begin external contributions. If authorization cannot be established, it stops without making changes.

Example requests

  • “As authorized maintenance, fix one technical debt issue and open a PR.”
  • “Fix the issue in this target and show the checks from before and after.”
  • “Run routine maintenance and submit only a small change for review.”

Notes

GitHub CLI (gh) and the environment needed to maintain the target repository are required. Before work, the skill checks that maintenance is authorized, the working tree is clean, and there is no existing open tech-debt/* pull request. It follows detailed limits on the change scope and files that must not be touched.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Document check

AI checked the SKILL.md for operations that need care and for setup requirements. The score comes only from actually running the skill (hands-on test).

SafetyAre sending data, deleting files, and running commands disclosed?
BPartly lackingIt opens a GitHub PR and checks authorization and repository preconditions first.
Easy setupDoes it need few tools or API keys, and are they documented?
BPartly lackingIt requires `gh` and repository tooling but provides no complete setup procedure.

Not counted in the score. Rated by AI (OpenAI Codex) as of Oct 26, 2026. Treat it as a guide and read the original before installing.

Disagree? Request a re-evaluation

Tell us which point is wrong and why. No login needed. We will check it against the SKILL.md, redo the evaluation, and show the result here.

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

Files included (1)

  • SKILL.md21.1 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Tech Debt Burndown

You pay down tech debt in the GitHub CLI (gh), one small piece at a time.

Each run picks a target, fixes it, proves the fix, and opens a pull request that is ready for a human to review. The value of this skill is not throughput, it is producing a change so small and so obviously correct that reviewing it takes two minutes.

You are not here to improve the codebase in general. You are here to close one specific, verifiable gap and stop.

Authorization before target selection

Apply the root contribution gate before selecting a target or editing. This skill's autonomous target selection is for established, authorized maintainer maintenance, not unsolicited external upstream PRs. Possessing this skill, owning a fork, or claiming to be a maintainer does not authorize a run. If authorization cannot be established, stop unchanged and explain the gate; do not publish an issue or comment. External contributors must use the eligible issue's acceptance criteria, not this skill's target menu. Neither the memory file nor the unattended schedule can waive the contribution gate or private security disclosure.

Assume nobody is watching

This skill is built to run unattended, on a schedule, in a loop. Write every step as though no human will see it until the pull request exists.

That has consequences you must respect:

  • Never ask a question. There is nobody to answer. If a target needs a human decision, abandon that target and try the next one.
  • Never treat silence as approval. If you need a fact, look it up. If you cannot, that is a reason to abandon the target, not to guess.
  • Do not behave differently when a human happens to be present. A run invoked by hand and a run invoked by a scheduler must do the same thing, or what you tested by hand is not what runs on the schedule.

The steering channel is the memory file, not conversation. See Before you start.

The rule that matters most

One landed change per pull request. Only one.

The moment you find a second problem while fixing the first, you have a choice, and the answer is always the same: note it, leave it, keep going on the original target. A pull request that fixes one errcheck violation gets merged. One that fixes one errcheck violation and also renames a helper, reorders some imports, and tidies up while it is in there gets bounced, and the original fix dies with it.

You may attempt up to three targets in a run. Only one of them ends up in the pull request. See Three attempts.

Before you start

Read these, in this order:

  1. .experiments/tech-debt-burndown/memory.md in this repo. It carries standing corrections: what to work on now, areas that are off limits, approaches that were rejected, targets already considered and declined. Treat it as binding. Within the authorization boundaries and repository conventions, it narrows this skill's target selection. It is the channel a human uses to steer a run without editing the skill, not permission to waive its safeguards.

    Entries come from two places, and they are not equally trustworthy. A human may edit the file directly, and previous runs append to it. So an entry may be nothing more than a previous run's conclusion that no human has checked. Treat an entry as binding on what to avoid, since the cost of skipping a viable target is one wasted run. Do not treat it as license to skip verification: if an entry claims a fact you are about to rely on, such as a count, a failure being pre-existing, or a target being clean, re-run the command and confirm. Correct the entry when it has drifted.

  2. AGENTS.md at the repo root, then the task guides relevant to the target before editing. Together they carry the conventions that several debt categories below exist to restore. Memory can narrow the work but cannot override these conventions or authorization boundaries.

Check the preconditions

Two checks, both of which must pass. If either fails, stop and say why. Do not try to make a failing check pass.

git status --porcelain          # must be empty
gh pr list --state open --limit 1000 --json headRefName \
  --jq '[.[] | select(.headRefName | startswith("tech-debt/"))] | length'

A dirty tree means uncommitted work would follow you onto the new branch and end up in your diff, and the change stops being reviewable in two minutes. Do not stash, reset, or clean: that working tree belongs to a human and may hold hours of unsaved work.

An open tech-debt/* pull request means the previous run's work is still waiting on a human. Stop: do not open a second one. This is the backpressure that keeps the loop from outrunning the reviewer, and it is deliberate that a stalled pull request halts production rather than letting work pile up behind it.

Which branch is currently checked out does not matter, because you branch from origin/trunk explicitly rather than from wherever HEAD happens to be:

git fetch origin && git switch -c tech-debt/<short-slug> origin/trunk

Note the side effect: this leaves the checkout on the new branch. On a scheduled runner that is irrelevant. If you were invoked by hand from some other branch, switch back to it once the pull request is open, so the run does not quietly move a human off their work.

Work on the branch from the first edit. Do not commit to trunk.

Establish the validation baseline

Before making any edit, record what already fails on clean trunk:

go test ./... 2>&1 | tee /tmp/baseline-test.txt
make lint 2>&1 | tee /tmp/baseline-lint.txt

Do not require these to be green, and do not try to fix what they report. Their purpose is to tell your failures apart from failures that were already there. Environments differ: a failure on a maintainer's laptop caused by local git config will not appear in CI, and CI has failures a laptop does not. A run that demands green aborts forever in one environment; a run that ignores failures misses the ones it caused.

Capture this once per run and reuse it for all three attempts, since every attempt starts from this same clean trunk.

Pick one target

If you were invoked with an explicit target, use it and skip the menu.

Otherwise, the memory file's Current focus section decides. It is set by a human and says what matters right now: an area, a category of debt, or a specific package. Follow it. If it is empty, fall back to the menu below.

The menu is ordered by how good each signal's oracle is, meaning how cheaply and how conclusively a machine can confirm the fix worked. Prefer a target near the top. A weak oracle means a human has to think hard to review your change, which is the thing this skill exists to avoid.

Each command below is verified to work in this repository. The counts were true when written and drift as work lands, so treat them as rough.

Tier 1: a tool reports it, and the same tool confirms the fix

These are the best targets. Success is unambiguous: the tool listed the problem before your change and does not list it after.

Linters disabled for backlog reasons. .golangci.yml disables errcheck, staticcheck, and gosec with the comment "To enable later due to too many issues". That backlog is large but finite, and it shrinks package by package:

golangci-lint run --no-config --default=none --enable=errcheck \
  --max-issues-per-linter=0 --max-same-issues=0 ./pkg/cmd/<pkg>/...

Both limit flags are mandatory, and every sensor command in this skill must carry them. golangci-lint defaults to --max-issues-per-linter=50 and --max-same-issues=3, so without them the output is silently truncated: pkg/cmd/auth/status reports 3 findings by default and 16 with the flags.

That truncation does not merely undercount, it inverts the oracle. Fix the 3 findings you were shown, re-run, and the tool displays the next 3 that were hidden before. Before: 3 issues. After: 3 issues. A correct fix looks like a failed one, so the attempt gets reverted and the target abandoned - and this happens on every package with more than three findings of one kind, which is most of them. Do not drop these flags to shorten the command.

Swap in staticcheck or gosec. Scope to one package, never the whole tree. Note that --no-config skips this repo's gosec exclusions and its test-file rules, so cross-check anything gosec reports against the exclusions and settings blocks in .golangci.yml before acting on it. Some of what it reports is already deliberately excluded.

When a package goes clean, you may add a scoped exclusion to .golangci.yml that holds it clean, in the same pull request. That is a ratchet: without it the package silently regresses and the work is lost. Adding an exclusion is the only edit to that file you may make. Never disable a linter, widen an existing exclusion, or add a blanket rule.

Suppressions that may no longer be needed. Around 31 //nolint directives:

grep -rn "//nolint" --include=*.go .

Remove one, run the linter, and see if it still complains. If it does not, the suppression was stale and deleting it is a clean win. If it does, either fix the underlying issue or leave the directive alone and add the reason to it. Do not delete a suppression by silencing the linter some other way.

Skipped tests. Around 9 t.Skip calls:

grep -rn "t.Skip(" --include=*_test.go .

Read why it was skipped. If the reason no longer holds, unskip it and make it pass. If the reason still holds but is undocumented, documenting it is a smaller but still real improvement.

Tier 2: a rule says it, and a grep finds every violation

The oracle is the grep going to zero for that pattern, plus tests passing.

ghinstance.Default() call sites. Read API and hosts before choosing one. The function always returns github.com; first establish whether the call site should honor a resolved repository, explicit host, or configured default:

grep -rn "ghinstance.Default()" --include=*.go .

Fix one incorrectly hardcoded call site using the appropriate host source: repo.RepoHost() for repository operations, cfg.Authentication().DefaultHost() only for default-host behavior. Each needs a test proving the actual non-github.com request host is respected. Do not change a deliberately GitHub.com-only operation just to eliminate a grep match. If the correct host cannot be supplied without changing an exported signature, abandon that attempt.

Tier 3: only when Current focus names it

The oracle is weak, so these are not eligible by default. Take one only when the memory file's Current focus explicitly points at it.

Feature detection cleanups. API and hosts requires a // TODO <cleanupIdentifier> comment above temporary feature-gate branches, not permanent GHES exclusions. The identifier groups sites that must be removed together once the API is GA on all supported GHES versions:

grep -rhoE "// TODO [a-zA-Z][a-zA-Z0-9_-]+" --include=*.go . | sort | uniq -c | sort -rn

Never remove one of these. Whether a gate can come out depends on the supported GHES version window, which is external knowledge you do not have and cannot obtain unattended. What you may do is verify a group is internally consistent and complete, and report a group whose sites have drifted apart.

Bare TODO, FIXME, and HACK markers. Roughly 240. Most are not actionable and some are older than the code around them. Only when the marker states a concrete, checkable action.

What you may change

You may edit any .go file, subject to the exclusions below. Everything else in the repository is off limits, which is what keeps a run from quietly relaxing its own constraints: the workflows that schedule it, this skill file, go.mod, and CODEOWNERS are all outside the allow-list by construction.

Two carve-outs, because the design needs them:

  • appending to .experiments/tech-debt-burndown/memory.md, below the Current focus section;
  • adding a scoped exclusion to .golangci.yml when a package goes clean, as described in Tier 1.

Never touch

Generated code and mocks, even though they are .go files. Changes here are overwritten by the next go generate and reviewing them wastes a human's time:

  • any file containing // Code generated ... DO NOT EDIT.
  • **/*.pb.go, **/*.twirp.go, **/*_mock.go
  • pkg/cmd/codespace/mock_api.go, mock_prompter.go

Also never touch anything the memory file lists as off limits.

Fix it

Record the failure first

Before you change a single line, run the sensor and save its output. You need the before state to prove the after state means anything, and to paste both into the pull request. A fix you cannot demonstrate was needed is indistinguishable from churn.

Make the smallest change that closes the gap

Fix the one instance. Match the surrounding code's style rather than importing your own. If a fix needs a helper, check for an existing one first: the command set's shared package, then top level api and git, then internal helpers such as internal/text, then the standard library.

Cover it with a test

New behavior needs a test. This applies even when the change looks trivial, because trivial is exactly the category of change that silently breaks something. Read Testing before editing tests: use the relevant behavioral seam, httpmock for HTTP, require for error assertions, and iostreams.Test() for output.

An unchecked error you now handle needs a test that exercises the error path. A ghinstance.Default() call site you fix needs a test with a non-github.com host.

The exception is a change with no new behavior at all, where an existing test already asserts the exact output byte for byte. Say so explicitly in the pull request and name the test, so a reviewer can check the claim rather than take it on trust. If you can neither write a failing test nor point at one, that is strong evidence the change is not worth making: abandon the attempt.

Prove it

Re-run the sensor and the root pre-commit gates:

<the sensor command from your target, re-run>   # now reports the issue gone
go fix ./pkg/cmd/issue/list/...  # Substitute the actual changed packages
go test ./...
make lint

Inspect go fix edits against the one-target scope and allow-list. Do not carry unrelated modernization into the commit to satisfy a gate.

Compare the last two against the baseline you captured on clean trunk. Any failure present now and absent from the baseline is yours, and the attempt has failed. Failures present in both are pre-existing: do not fix them, and report them in the pull request so a reviewer is not left wondering.

The full suite matters because the cheapest way to break this codebase is a change that looks local and is not.

Never make a check pass by weakening it. Do not skip a test, loosen an assertion, add a suppression to quiet a linter you were not asked to quiet, or narrow a lint scope. If a check fails and you cannot fix it honestly, revert and move to the next attempt. A green build achieved by deleting a test is worse than an empty-handed run.

Three attempts

An unattended run that stops at its first difficulty produces nothing and the whole tick is wasted. So you get three attempts at finding something that lands.

For each attempt, in order:

  1. Pick a target, respecting Current focus and everything the memory file rules out. Do not re-pick a target an earlier attempt in this run already abandoned.
  2. Record the sensor's before state.
  3. Fix it, with a test.
  4. Prove it against the baseline.

The first attempt that passes wins. Stop attempting and open the pull request.

If an attempt fails at any step, revert completely before starting the next one:

git checkout -- . && git clean -fd && git status --porcelain   # must be empty

A half-reverted attempt contaminating the next one is the single worst outcome available here, because it produces a pull request whose diff nobody can explain.

Keep a short note of why each failed attempt failed. Those notes are the most valuable thing an unlucky run produces, and they go into the memory file of whichever attempt eventually lands.

If all three fail, stop. Do not open a pull request, do not open an issue, do not comment anywhere. The run is simply silent, and the absence of a pull request is the signal. Anything noisier turns a bad hour into a notification storm.

Commit and open the pull request

One commit containing the fix, its test, and the memory file update.

Follow this repository's commit style: a short imperative sentence in sentence case, no type prefix, describing the effect rather than the mechanics. Read git log --oneline if unsure. "Check the error from the token write" reads better than "fix errcheck in auth.go".

Push the branch and open the pull request ready for review, not as a draft. Ready is the signal that a human's turn has begun.

Read the PR template fresh and use it as the body. Keep its headings and HTML comments and fill in every section, writing "N/A" rather than deleting one:

  • Description: the target, and why it was picked. One short paragraph.
  • How did you test this change?: the sensor output before and after. This is the core of the pull request and what makes it reviewable in two minutes. Also state the baseline comparison result, naming any pre-existing failures you found so nobody mistakes them for yours.
  • Key points: the attempts that did not land and why. A reviewer reading two abandoned attempts understands that the small diff was the best available option, not the laziest.
  • Notes for reviewers: where to start, and anything you are unsure about.

The template's authorship block requires answers a human has explicitly chosen. Those choices have been made, and they are:

  • Who wrote this: "An agent wrote it independently, and no human has guided the implementation beyond the initial prompt."
  • Who answers review comments: "@williammartin will read and reply directly."

Apply the tech-debt label so these are filterable.

Then stop. Do not merge, do not request review beyond opening the pull request, and do not act on any review comments that arrive. A human decides what happens next, and the next scheduled run will not start while this one is open.

Update the memory file

The memory file update rides along in the same commit as the fix, which is what makes it reviewable. A run that lands nothing records nothing.

Append when a run produces knowledge a future run would otherwise have to rediscover:

  • a target you considered and rejected, and why, so it is not re-proposed
  • an attempt that failed validation, and how it failed
  • a false positive and why it is one

Date-stamp every entry, because a claim that was true in March may be false now and there is no other way to tell.

Never edit the Current focus section. A human owns it. If you believe the focus should change, say so in the pull request body and leave the section alone. A run that rewrites its own instructions and then obeys them is a loop with no human in it at all.

Keep the entries under 150 lines. That budget covers everything below the Current focus section. The header and Current focus are excluded and must never be trimmed to get under budget - they are instructions, not findings, and an agent that deletes its own guardrails to satisfy a line count has done the worst possible thing with this rule. If your append would exceed the budget, first consolidate existing entries so the total still fits. That consolidation lands in the same reviewable pull request, so a human can object if it dropped something that mattered.

Consolidation is lossy, so it should be rare. If you find yourself consolidating on most runs, the entries are too verbose: say what to avoid and why in one or two lines, and drop the narrative.

When to stop

Abandon the current attempt and move to the next when:

  • the fix requires changing an exported signature or an interface
  • the fix requires editing anything outside the allow-list
  • the fix touches the non-interactive output contract in any way, meaning stdout and stderr routing, --json fields, exit codes, error message text, flag names, or default values on the non-TTY path, all of which are breaking changes
  • the fix requires deciding whether a feature-detection gate can be removed
  • validation fails and the honest fix is larger than the original target
  • you can neither write a test that fails before your change nor name an existing test that already pins the behavior exactly
  • the diff has grown past what reviews in two minutes

Stop the whole run, changing nothing, when a precondition fails: a dirty working tree, or a tech-debt/* pull request already open.

Stopping is cheap. A bad pull request in a queue a human trusts is expensive, because the cost is not the pull request, it is the human deciding they can no longer skim these.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

This dispatcher helps with GitHub Agentic Workflows by identifying whether a request is about design, creation, configuration, updates, debugging, or upgrades. It selects the matching workflow prompt or skill file so the agent can follow task-specific guidance.

  • Design a GitHub Agentic Workflow from scratch
  • Create or configure a workflow engine
  • Update or debug an existing workflow
cli/cli46.8KUpdated Oct 25, 2026

cli-exercise

FreeSummary

Exercise a real command-line program with specified cases or a stated goal, then capture and verify the observed behavior. It produces local media evidence such as a session video, helping reviewers see what the command did without treating the recording as proof of general correctness.

  • Record specified CLI test cases
  • Demonstrate a command’s behavior
  • Validate an interactive terminal workflow
cli/cli46.8KUpdated Oct 25, 2026

Verify CLI exercise expectations against recorded evidence, render requested media, inspect the results, and return local artifacts with case outcomes. The workflow keeps failures visible and does not publish evidence by default.

  • Verifying a recorded CLI exercise
  • Rendering and inspecting session evidence
  • Returning local artifacts without publishing
cli/cli46.8KUpdated Oct 25, 2026

Use this skill to execute supplied CLI test cases without changing their commands, inputs, ordering, or assertions. It guides preparation, exercise, and validation case by case, then classifies results as passed, failed, blocked, or observed based on actual evidence.

  • Run caller-supplied CLI cases in their specified order
  • Preserve literal inputs and expected assertions
  • Validate each case against observed output or state
cli/cli46.8KUpdated Oct 25, 2026

Use this skill to explore a CLI goal by choosing observable checks within an approved scope. It guides the agent through preparation, one exercise, and immediate validation for each case, then helps report what the evidence established and what remained unreachable.

  • Explore a CLI task with a clear goal and approved boundaries
  • Choose checks for an outcome such as uploading a file
  • Run and validate CLI cases one at a time
cli/cli46.8KUpdated Oct 25, 2026

This internal module checks whether cli-exercise can use its required build, terminal, and media tools. When a dependency is missing, it identifies a suitable setup path and requires approval before installation, then rechecks readiness. It does not authorize recordings or other actions.

  • Check cli-exercise tool readiness
  • Find missing recording or rendering dependencies
  • Prepare an approved dependency installation
cli/cli46.8KUpdated Oct 25, 2026

See all skills by cli

Report a problem with this skill