Rseng Security

Security for research software

Research software is unusually exposed: long-lived unmaintained dependencies, credentials for shared clusters and data services, and code that outlives its authors. A 2025 study scoring 3,248 research repositories with OpenSSF Scorecard found an average of 3.5/10 - the gap is the norm, not the exception. Security here is mostly hygiene, not cryptography: a handful of repeatable practices prevent the common failures.

Secrets and sensitive files (the non-negotiable)

• Never commit credentials, tokens, private keys or connection strings - not even briefly; git history is forever and forges cache aggressively.
• Know the file catalog that never enters version control: .env and environment files, private keys and certificates (id_rsa, *.pem, *.p12), cloud and service credentials (service-account JSONs, kubeconfig, .aws/, .netrc), API token files, database dumps with real records, browser/session cookies, and instrument or license files bearing embedded keys. Some of these should not even sit in the working tree of a shared or synced project directory - a credential does not belong next to the code that uses it.
• AI agent working directories join the catalog: .claude/, .agents/, .cursor/, .codex/, .gemini/, .github/copilot* holding local settings, and agent session records (histories, .rseng-agent-skills-* worklogs, .mcp.json with server credentials) can carry tokens, absolute paths and private prompt history. Gitignore them from day one in every generated project; team-shared agent config that IS meant to be committed (a project settings.json or instructions file) should be added back explicitly, not swept in by default.
• Guard rails BEFORE the first secret exists: .gitignore entries for the catalog above from day one (the scaffolding template ships them - rseng-project-scaffolding), a secret scanner (gitleaks) in pre-commit and CI, and a review habit of reading git status before git add - the classic leak is git add . sweeping a stray file in.
• Configuration via environment variables or untracked local files; document required variables in the README with dummy values, and ship a committed .env.example with placeholders instead of the real thing.
• Personal and sensitive DATA files follow the same rule with their own escort: never committed, stored where the steward says, with synthetic samples in the repo (rseng-data-management, rseng-regulatory-compliance).
• If a secret lands in history: revoke and rotate it FIRST (assume it is compromised the moment it is pushed), then clean history if the repository is private enough for that to matter. Rotation is the fix; history rewriting is cosmetics.
• Sweep periodically, not just at commit time: scan the existing history and tree (gitleaks detects both) during the milestone review (rseng-code-review) - guards added today do not clear yesterday's leak.

Dependencies and the supply chain

• Pin dependencies with lockfiles (rseng-reproducible-environments) - reproducibility and supply-chain safety are the same mechanism.
• Turn on dependency vulnerability scanning where the forge provides it (e.g. dependabot/renovate style updates plus advisory alerts); triage rather than auto-merge on research-critical code paths.
• Evaluate before adopting: maintenance signals, release cadence and known advisories are part of choosing a dependency (rseng-dependency-management owns the full intake vetting; rseng-software-reuse finds the candidates).
• Generate an SBOM (software bill of materials) at release time when the project is infrastructure others depend on; it makes "are we affected by CVE X" answerable in minutes.

Assess with OpenSSF Scorecard

Scorecard runs read-only checks (branch protection, token permissions, pinned workflows, fuzzing, dangerous CI patterns...) and scores 0-10. Use it like FAIRGuard (rseng-fairguard) is used for FAIR: assess, read findings, fix what matters for the project's tier, re-run and report the delta. The OpenSSF Best Practices badge is the self-assessment counterpart worth adopting at maturity.

CI hardening basics an agent should apply by default:

• Least-privilege CI tokens (read-only unless the job publishes).
• Pin third-party CI actions/steps to commit SHAs, not floating tags.
• Never echo secrets into logs; mask and scope them per job.
• Protect the default branch: reviews required, force-push disabled (rseng-version-control-review).

Fuzzing and vulnerability response

• Fuzzing feeds malformed inputs at scale to find crashes and memory errors; it earns its setup cost when the project contains memory-unsafe code (C/C++/Fortran extensions are common in research stacks) or parses untrusted input. OSS-Fuzz runs it continuously for accepted open source projects; language-level fuzzers work in CI for smaller scopes. For pure high-level code, property-based testing delivers the same input-hostility cheaper (rseng-testing).
• Have a response path before the first report: a security contact (SECURITY.md), triage of reported or scanner-found vulnerabilities by severity, fixes for critical ones promptly released and noted in the changelog (rseng-publishing-releasing) - "no known critical vulnerabilities outstanding" is an explicit quality indicator, and it is about response speed, not perfection.

Provenance and releases

SLSA levels describe how trustworthy a build is (source-verified, build-service, provenance-attested). Practical staircase for research software: reproducible scripted builds, then CI-only releases with provenance attestation, then signed artifacts. Publishing through a registry with provenance support (rseng-publishing-releasing) gets much of this for free.

Compliance context

Funders increasingly mandate research-security practices (US agencies made security training mandatory in 2025). When an institutional policy exists, implement it rather than improvising; sensitive-data handling questions route to the data steward (rseng-data-management).

Acting on findings

Route fixes to the matching skill: CI changes (rseng-ci-cd), release process (rseng-publishing-releasing), dependency updates (rseng-dependency-management for the update regime, rseng-maintenance-sustainability for cadence), review rules (rseng-version-control-review). Record AI-assisted security work in aidecl.yaml (rseng-ai-declaration) - provenance matters most exactly here.

Working with this skill

This skill is source-independent: its authority is the OpenSSF and SLSA documentation and the research-software security literature linked below.

Learn more (verified):

• https://github.com/ossf/scorecard - OpenSSF Scorecard
• https://www.bestpractices.dev - OpenSSF Best Practices badge
• https://slsa.dev - SLSA supply-chain levels
• https://github.com/gitleaks/gitleaks - secret scanning
• https://cyclonedx.org - CycloneDX SBOM standard
• https://github.com/google/oss-fuzz - OSS-Fuzz continuous fuzzing
• https://arxiv.org/abs/2508.03856 - Scorecard study of 3,248 research repositories

Related skills

Check whether any of these applies before moving on:

• rseng-agent-security - least-privilege applied to the agent
• rseng-ci-cd - hardening CI tokens and workflows
• rseng-dependency-management - vetting and updating dependencies
• rseng-publishing-releasing - signed releases, SBOMs, provenance
• rseng-regulatory-compliance - personal data raises legal duties
• rseng-reproducible-environments - lockfiles pin the supply chain