Security¶
Supply chain security¶
repomatic implements most of the practices described in Astral’s Open Source Security at Astral post, baked into a drop-in setup that any maintainer can inherit by pointing their workflows at the reusable callers.
Astral practice |
How |
|---|---|
Ban dangerous triggers ( |
The lint-workflow-security job runs |
Minimal workflow permissions |
|
Pinned actions |
All |
No force-pushes to |
|
Immutable release tags |
|
Dependency cooldowns |
|
Install-time cooldowns |
Every workflow exports |
Trusted Publishing |
PyPI uploads via OIDC with no long-lived token. The |
Cryptographic attestations |
Every binary and wheel is attested to the workflow run that built it via |
Checksums in installer scripts |
The |
Fork PR approval policy |
|
Warning
Known gap: multi-person release approval. Astral gates releases behind a dedicated GitHub deployment environment with required reviewers, so that a single compromised account cannot publish. repomatic does not enforce this, but if the repository has multiple maintainers, I recommend adding an environment: release key to the caller-side publish-pypi job (and to the upstream create-release job, if the caller exposes it) in the downstream workflow and configuring required reviewers on that environment in repo settings.
Important
One-time PyPI Trusted Publisher setup. Each downstream repository must register a Trusted Publisher entry on PyPI for its own caller workflow. The publisher config matches against the OIDC job_workflow_ref claim, which names the downstream’s workflow file (typically .github/workflows/release.yaml). Without this registration, the first PyPI upload after migration fails cleanly with a publisher mismatch error. See the PyPI Trusted Publishers documentation for the registration steps.
Third-party action minimization¶
Every third-party GitHub Action executes with access to GITHUB_TOKEN and repository secrets. Each action is a trust delegation: you depend on the maintainer’s security practices, their CI pipeline, and their transitive dependencies. A compromised action can steal secrets, inject code into builds, or tamper with releases.
repomatic has systematically eliminated 23 third-party actions since late 2025, replacing them with internal CLI commands, SHA-256-verified binary downloads, and runner built-in tools:
Removed action |
Replacement |
Strategy |
|---|---|---|
|
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Internal CLI |
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Internal CLI |
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Internal CLI |
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Internal CLI |
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Internal CLI |
|
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Internal CLI |
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Internal CLI |
|
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Internal CLI |
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Direct binary + SHA-256 |
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Direct binary + SHA-256 |
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Direct binary + SHA-256 |
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Direct binary + SHA-256 |
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Direct binary + SHA-256 |
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Direct |
Direct binary + SHA-256 |
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Runner built-in |
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Bash + |
Runner built-in |
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Bash + runner built-ins |
Runner built-in |
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Runner built-in Rust |
Runner built-in |
|
|
Consolidated |
|
|
First-party replacement |
|
None (integration dropped) |
Removed entirely |
|
None (feature dropped) |
Removed entirely |
|
Explicit |
Removed entirely |
The only remaining third-party action (1 of 8 total) is astral-sh/setup-uv, which installs the toolchain every other job runs through.
That makes its own pin do double duty: it fixes the action’s code, and it fixes which uv builds arrive verified against a pinned hash, since setup-uv checks a download against the table its release bundles. A build missing from that table installs with no verification before v10.1.0, and against a hash fetched at run time from v10.1.0 on. sync-workflow-pins therefore never walks the uv pin past that table, and steps it back onto the table when it finds a pin already sitting above one: the action bump that would otherwise repair it does not exist while the newest setup-uv is the one already pinned. lint-repo reports the same condition.
Every other uses: in the tree is GitHub’s own: actions/checkout, actions/cache, actions/upload-artifact, actions/download-artifact, actions/attest, actions/upload-pages-artifact and actions/deploy-pages. All but actions/checkout speak the Actions cache, artifact, attestation and Pages backplanes, and are kept deliberately: those are internal service protocols GitHub reserves the right to change, so a reimplementation would break silently rather than loudly.
Issue and pull-request labelling¶
repomatic apply-labels covers what the two retired labeller actions did: file globs over a pull request’s changed paths (actions/labeler) and content patterns over its title and body (github/issue-labeler). One job runs it on every issue and pull request opened; repomatic.labels holds the matcher, tests/test_labels.py pins the semantics, including the minimatch glob dialect.
The supply-chain gain is the usual one, and modest: both actions were SHA-pinned with cooldown-gated bumps. The concrete win is that the rules stopped being files. Each job used to run repomatic init labels to stage a YAML config purely so its action could read it back out of the checkout, and the actions’ schemas dictated the config’s shape all the way up into [tool.repomatic.labels]. Owning the matcher retired the staging step, the two bundled YAML files, the serializers that produced them, and the schema itself: a rule is now one label mapped to the keywords or globs that apply it, with the defaults living in repomatic.labels.DEFAULT_CONTENT_RULES and DEFAULT_FILE_RULES as plain Python data.
It also fixed a silent bug the old shape could only warn about. github/issue-labeler AND-joined a label’s patterns, so the obvious “any of these keywords” rule matched nothing; any pattern matching now applies the label, and keywords are matched case-insensitively on word boundaries instead of each rule hand-rolling /\bword\b/i.
Pull-request creation¶
repomatic pr-sync opens, refreshes and retires every pull request CI produces, across all 22 call sites that used to run peter-evans/create-pull-request. It is a deliberate port of that action’s algorithm rather than a fresh design, and repomatic.github.pr records the mapping.
That action was the last third-party one entrusted with REPOMATIC_PAT, a token carrying workflow-write scope, which made it the largest remaining trust delegation on this page. It was nonetheless SHA-pinned with bumps gated on minimum-release-age by sync-action-pins, so the supply-chain gain is real but bounded: a compromised release could not have reached a build until it had been public for the cooldown window and a maintainer had merged the bump.
The concrete win is elsewhere. The action’s cleanup only ran when the action ran, and a job behind an if: gate skips its own steps, leaving a branch and pull request nobody retires: repomatic close-stale-bump-pr exists to patch exactly that hole. pr-sync decides internally instead, so one command covers the create, update, no-op and close cases.
Owning both ends also collapsed the plumbing: each job used to render its body with repomatic pr-body, squeeze it through a $GITHUB_OUTPUT step output (a 32 KiB ceiling), and relay it into the action via env:. pr-sync --template X renders internally, so the relay, its size ceiling, and the per-step env: blocks are gone, and the branch, labels and draft state derive from the template’s own frontmatter.
A conformance test holds this in place: test_pull_requests_are_opened_by_the_cli_not_an_action fails when any workflow reaches for the action again. Without --base on a detached HEAD, pr-sync reads the repository’s default branch from the CI event payload, and fails when the payload names none.
Replacement strategies, ordered from most to least isolated:
Internal CLI: the operation runs inside
repomaticPython code with no external process.Direct binary download: checksummed binary fetched from a GitHub release URL, no action code path involved.
Runner built-in: uses tools pre-installed on the GitHub Actions runner (
gh, Rust toolchain).First-party replacement: swaps a community action for an official
actions/*equivalent maintained by GitHub.
Ruff consolidation¶
Ten separate Python linters and formatters, two of them mdformat plugins, have been absorbed into ruff, eliminating ten runtime or dev dependencies:
Removed tool |
What it did |
Replaced |
|---|---|---|
|
Static analysis and linting |
Feb 2023 |
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Docstring convention enforcement |
Feb 2023 |
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Unused import removal |
Feb 2023 |
|
Python syntax modernization |
Feb 2023 |
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Import sorting |
Feb 2023 |
|
Code formatting |
Sep 2023 |
|
Docstring formatting |
Jan 2024 |
|
Python formatting in Markdown code blocks, as an mdformat plugin |
Aug 2024 |
|
Python formatting in Markdown code blocks |
Feb 2026 |
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Same as |
Aug 2026 |
autopep8 is the only legacy formatter still in use: it handles long-line comment wrapping that ruff does not yet cover (astral-sh/ruff#7414).
uv consolidation¶
Five separate packaging and install tools have been absorbed into uv, which now handles dependency management, builds, publishing, auditing, and Python version installation:
Removed tool |
What it did |
Replaced |
|---|---|---|
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Dependency management, lock files, virtual environments |
Jun 2024 |
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Package building (wheels and sdists) |
Sep 2024 |
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PyPI uploads |
Jan 2025 |
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Wheel validation |
Jan 2025 |
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Vulnerability scanning |
Mar 2026 |
uv also consolidated command-line usage that previously required separate tools: pip install became uv pip install / uv sync, pipx became uvx, and actions/setup-python was replaced by astral-sh/setup-uv (counted in the action minimization table above).
Two other Python packages were eliminated outside the ruff/uv consolidations: pipdeptree (replaced by an internal dep-graph implementation) and gitignore-parser (replaced by py-walk).
Permissions and token¶
Several workflows need a REPOMATIC_PAT secret to create PRs that modify files in .github/workflows/ and to trigger downstream workflows. Without it, those jobs silently fall back to the default GITHUB_TOKEN, which lacks the required permissions.
After your first push, the setup-guide job automatically opens an issue with step-by-step instructions to create and configure the token.
Concurrency and cancellation¶
All workflows use a concurrency directive to prevent redundant runs and save CI resources. When a new commit is pushed, any in-progress workflow runs for the same branch or PR are automatically cancelled.
Workflows are grouped by:
Pull requests:
{workflow-name}-{pr-number}— Multiple commits to the same PR cancel previous runsBranch pushes:
{workflow-name}-{branch-ref}— Multiple pushes to the same branch cancel previous runs
release.yaml uses a stronger protection: release commits get a unique concurrency group based on the commit SHA, so they can never be cancelled. This ensures tagging, PyPI publishing, and GitHub release creation complete successfully.
Additionally, cancel-runs.yaml actively cancels in-progress and queued runs when a PR is closed. This complements passive concurrency groups, which only trigger cancellation when a new run enters the same group — closing a PR doesn’t produce such an event.
Tip
For implementation details on how concurrency groups are computed and why release.yaml needs special handling, see the repomatic.github.actions module docstring.
AV false-positive submissions¶
Compiled Python binaries (built with Nuitka --onefile) are frequently flagged as malicious by heuristic AV engines. The onefile packaging technique (self-extracting archive with embedded Python runtime) triggers generic “packed/suspicious” signatures. This is a known issue across the Nuitka ecosystem.
The scan-virustotal job in _release-engine.yaml uploads all compiled binaries to VirusTotal on every release. This seeds AV vendor databases to reduce false positive rates for downstream distributors (Chocolatey, Scoop, etc.). Each release’s flagged / total snapshot is recorded in docs/assets/virustotal-scans.csv and rendered, along with the full catalog of released binaries and their analysis links, on the binaries page. Detection counts are deliberately kept out of GitHub release notes, where they read as a malware verdict without context (see kdeldycke/meta-package-manager#1911).
When a release is flagged, the /av-false-positive skill generates per-vendor submission files with pre-written text and form field mappings. The vendor details below document the process for manual reference.
Why binaries get flagged¶
Nuitka --onefile creates a self-extracting archive that decompresses an embedded Python runtime to a temporary directory and executes it at launch. This “drop and execute from temp” pattern is behaviorally identical to trojan droppers, which triggers heuristic and ML-based detections. Two more factors compound it: Nuitka is popular with malware authors for source code protection, which poisons AV heuristics for all Nuitka-compiled binaries, and Microsoft has gone as far as suspending an Artifact Signing account over Nuitka onefile binaries.
The detection profile is consistent across projects: Linux binaries scan clean, macOS ones pick up the occasional ML false positive, Windows ARM64 stays low (fewer ARM64 heuristics in AV engines), and Windows x64 attracts the bulk of the detections through generic signatures like Gen:Variant.Application.tedy (BitDefender family), Trojan:Win32/Sabsik (Microsoft), Python/Packed.Nuitka.AL (ESET), and various ML classifiers. Pure-Python .whl and .tar.gz distributions scan clean.
The Nuitka project tracks the situation in Nuitka/Nuitka#2685, Nuitka/Nuitka#2495, Nuitka/Nuitka#2757, and Nuitka/Nuitka#3842.
Vendor portals¶
Vendor |
Engines covered |
Portal |
Format |
Turnaround |
|---|---|---|---|---|
Microsoft |
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One file per form, 1900 char limit on additional info |
Fastest |
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BitDefender |
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One file per form, screenshot mandatory |
Fast |
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ESET |
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Email to |
Single email, password-protected ZIP ( |
Reliable |
Symantec |
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Hash submission only (no |
3-7 business days |
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Avast/AVG |
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One file per form, shared engine |
Medium |
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Sophos |
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One file per form, 25 MB max per submission |
Up to 15 business days |
Complete directories of vendor false-positive contacts are maintained by VirusTotal and False-Positive-Center.
Submission priority¶
Submit in this order to maximize impact:
Microsoft: most influential engine. ML detections (
Sabsik,Wacatac) have the broadest downstream effect.BitDefender: powers ~6 downstream vendor engines. Highest detection-removal-per-submission ratio.
ESET: email-based channel with no portal dependency. The most reliable submission path.
Symantec: ML detections (
ML.Attribute.*) may take longer to process.Avast/AVG: shared engine, so one submission covers both.
Sophos: PUA detections require justification of the software’s legitimate purpose.
Submission content¶
Every false-positive submission should include:
The binary’s VirusTotal report link.
VirusTotal links for the clean
.whland.tar.gzsource distributions (as comparison evidence).The GitHub release link and direct download URL for the binary.
Project homepage and PyPI URL.
License from
pyproject.toml.Reference to any prior false-positive issue in the repository.
All submission text should mention that the binary is compiled with Nuitka --onefile from an open-source project.
Known portal issues¶
Microsoft: CORS errors or stuck progress modals during upload (auth session expiring). Workaround: sign out, clear cookies for
microsoft.com, sign back in, submit immediately.BitDefender: form sometimes returns “Your request could not be registered!” with no details. Retry later.
Avast: form sometimes returns “An internal error occurred while sending the form.” Retry later.
Long-term mitigations¶
False-positive submissions are a per-release moving target. The structural fixes:
Code signing with an EV certificate would reduce heuristic detections across the board, especially from Microsoft and Symantec ML models.
Switching from
--onefileto--standalonewould eliminate the self-extracting pattern entirely, at the cost of distributing a directory instead of a single.exe.Nuitka Commercial claims proprietary AV-mitigation techniques but offers no guarantees.
The code behind this page is documented on the repomatic.release.virustotal, repomatic.release.checksums and repomatic.release.binary pages.