Files
personamanagmentlayer__pcl/stdlib/security/supply-chain-security-expert/SKILL.md
ANGX 4e07a6a874 feat(stdlib)!: Agent Skills v1.0 conformance, resolver fix, and 17 new skills (#43)
* chore(stdlib): add conformance tooling for the skills library

The library had no gate that could express what a valid skill is, so
malformed frontmatter, over-budget files and credential literals went
unnoticed. These scripts define and enforce that contract.

- validate-skills.py: extend with Agent Skills v1.0 conformance -
  naming rules and directory agreement, an explicit activation trigger
  in the description, canonical layout, the 500-line SKILL.md budget,
  relative-link integrity, and two security rules (no unrestricted
  Bash(*) grant, no credential literals). Structural checks now read a
  skill as a whole so material moved into references/ still counts.
- split-skill-references.py: move the heaviest sections of an oversized
  SKILL.md into references/. Verifies line by line that every source
  line lands in exactly one output and refuses to write otherwise.
- generate-skill-inventory.py: derive SKILLS_INVENTORY.md and
  DIRECTORY_STRUCTURE.md from the tree so they cannot drift.
- generate-skill-catalog.py: index the canonical layout only, count
  references/ toward a skill's size, and stop truncating descriptions
  at 200 characters - the catalog is the discovery surface and must
  carry the activation trigger.
- .gitignore: Python bytecode from these scripts, and local .pcl state.

Reviewed-by: Security Analyst, Compiler Engineer, DevX Engineer

* fix(stdlib): bring all 174 skills to Agent Skills v1.0 conformance

No skill in the library was conformant. 41 of 175 failed the existing
validator outright, and none satisfied the spec. This pass fixes the
tree and records the result. See stdlib/CHANGELOG.md for the per-skill
versioning and migration notes.

BREAKING CHANGE: one skill removed, five moved, seven with a capability
withdrawn. Library version 2.0.0 -> 3.0.0.

Structure
- Convert 71 skills stored as flat files to <category>/<name>/SKILL.md,
  the layout the spec requires and the only one able to carry companion
  resources.
- Rename 5 directories that disagreed with their declared name:, so
  resolution by path and by name stop giving different answers. The
  repository docs already referenced the corrected paths.
- Merge the duplicate legal-technology skills into legaltech-expert and
  delete legal-tech-expert, carrying over everything the survivor
  lacked.

Metadata
- Repair 20 unparseable frontmatters: an H1 preceded the --- block and
  the key was skill_id: instead of name:, so any parser reading
  frontmatter at offset 0 saw no metadata at all. The objectives,
  prerequisites and outcome they carried become real body sections.
- Add the missing version: to 21 skills, fold keywords into tags, move
  expertise_level under metadata, and align 10 category: values with
  their directory.

Discoverability
- Give all 174 descriptions an explicit "Use when ..." trigger, built
  from each skill's own tags and section headings. 152 previously said
  only what the skill was about, leaving an agent nothing to match on.

Progressive disclosure
- Split 127 oversized skills, moving bulk material into references/ read
  on demand and leaving an index behind. A SKILL.md now averages 277
  lines instead of 644 and none exceeds 500. Verified lossless line by
  line against the previous revision.

Security
- Withdraw the unrestricted Bash(*) grant from 7 skills; none of the six
  non-financial ones contained a single shell command. finance-expert
  documents code that charges cards and reads bank accounts, so it now
  grants no shell at all.
- Remove credential literals: Stripe keys, two JWT signing keys, an
  Express session secret, a Redis password and WiFi credentials, all
  inlined in examples. They load from the environment now.
- finance-expert: idempotency keys were documented but absent, so a
  retry double-charged; webhook signature failures were not caught, so a
  forged event raised uncaught instead of being rejected;
  int(amount * 100) truncated fractions of a cent. All fixed, plus a
  money-movement guardrails section.
- trading-expert: place_order routed without any pre-trade risk check
  although a RiskManager sat unused in the next section. Risk validation
  now runs before routing and raises rather than returning a boolean a
  caller can ignore; live routing is opt-in.
- Correct an Ansible Vault example that showed plaintext under an
  "encrypted" label.

Also fixes 8 broken documentation links and a prematurely closed code
fence in skill-creator-expert that leaked template content into prose.

Per the repository file-organization policy, four stale progress reports
(SKILLS_MANIFEST, COMPLETE_SKILLS_LIBRARY, COMPLETE_LIBRARY_MANIFEST,
PHASE_3_DATA_ANALYTICS) move out of stdlib/ into the gitignored
.roadmap/status/stdlib/; they claimed 31 of 100 skills complete. They
appear here as deletions because .roadmap/ is not tracked.

Reviewed-by: Security Analyst, Language Designer, DevX Engineer,
             Documentation Specialist

* fix(skills): resolve standard library skills from their real layout

No stdlib skill was resolvable. SkillResolver looked for
`<stdlibDir>/<name>.md` with stdlibDir defaulting to `stdlib/skills`, a
directory that does not exist, and the path ignored the category level
the library actually uses. The two LSP providers had the same wrong
directory and scanned only one level deep, so neither completion nor
go-to-definition could see a skill either.

- skill-discovery.ts: enumerate skill entry points across the shapes in
  use - a flat `<name>.md`, `<name>/SKILL.md`, and
  `<category>/<name>/SKILL.md` - while skipping references/, scripts/
  and assets/, which hold supporting material rather than entry points.
- skill-resolver.ts: point stdlibDir at `stdlib`, and look the name up
  as a directory under any category as well as the two legacy shapes, so
  existing custom stdlib directories keep working. The name is used as a
  single path segment and rejected if it contains a separator or
  traversal, so a reference cannot escape the stdlib root.
- Rewire both LSP providers onto the shared discovery helper.

Tests: 13 new cases covering the layouts, ordering, the references/
exclusion, path-traversal rejection, and an integration test that
resolves real shipped skills by bare name.

Reviewed-by: Compiler Engineer, Runtime Architect, Security Analyst

* feat(stdlib): add 17 skills covering the library's largest gaps

Selection was driven by cross-referencing coverage against observed usage
rather than by intuition: Stack Overflow and GitHub Octoverse data for
which technologies matter, and install rankings on public agent-skill
registries for the shape of skills people actually use.

That comparison found a mismatch of form, not only of coverage. The
most-installed skills in the ecosystem are procedures - tdd, refactoring,
frontend design, browser automation - while all 174 existing skills were
domain knowledge shaped as <domain>-expert. The new workflows/ category
closes that gap and introduces the <activity>-workflow convention.

New category workflows/ (4)
- tdd-workflow, refactoring-workflow, debugging-workflow,
  code-review-workflow. code-review-workflow complements rather than
  replaces code-review-expert: procedure versus judgement. Merge them if
  the split proves confusing in use.

Applied AI (3) - the largest coverage gap
- llm-engineering-expert, rag-expert, agent-engineering-expert.
  The library referenced LLMs in tags but covered none of it: pgvector
  appeared zero times across 174 skills, LangChain once, MCP twice
  despite the repository shipping an MCP integration guide.

Capabilities (2)
- document-processing-expert (PDF, DOCX, XLSX, PPTX in one skill),
  browser-automation-expert (a client against third-party sites,
  distinct from playwright-expert which tests your own application).

Data (3)
- mysql-expert, the second most used database and previously absent
  while rarer stores had skills; analytical-databases-expert;
  stream-processing-expert.

Security (3)
- secrets-management-expert, supply-chain-security-expert (OWASP A03
  2025), identity-access-expert (OWASP A01).

Interface and meta (2)
- accessibility-expert: design/ held only design-expert, which despite
  its name covers software architecture, so WCAG had no home.
- skill-router: find and compose skills across 191, with a
  disambiguation table for overlapping pairs.

Grouping by decision context rather than by technology keeps the growth
to 17 skills for roughly 50 topics. Five vector stores live inside
rag-expert; four document formats inside document-processing-expert.
Per-tool depth sits in references/, which the progressive-disclosure work
in 3.0.0 made cheap.

Four further gaps are better served by extending existing skills -
PyTorch and TensorFlow in ml-expert, OpenTelemetry in monitoring-expert,
Pulumi and Crossplane in terraform-expert - and are not in this change.

Library 3.0.0 -> 3.1.0, additive only. Adds the workflows label to the
inventory generator; catalogue, inventory, structure and CHANGELOG
regenerated.

Reviewed-by: Product Strategist, Security Analyst, DevX Engineer,
             Documentation Specialist

* fix(test): create test directories with mkdtempSync

CodeQL flagged js/insecure-temporary-file (CWE-377) on both suites.
`join(tmpdir(), <predictable name>)` followed by mkdirSync creates a
world-readable directory at a guessable path, so another local user can
pre-create it or plant a symlink between the name being computed and the
directory being created.

mkdtempSync creates the directory atomically with a random suffix and
0700 permissions, which closes both the disclosure and the race.

One occurrence is new in this branch (skill-discovery); the other
pre-dates it in skill-resolver and is fixed in the same pass rather than
left as a known finding in a file this branch already touches.
2026-09-05 04:35:30 +02:00

12 KiB

name, version, description, category, tags, allowed-tools, metadata
name version description category tags allowed-tools metadata
supply-chain-security-expert 1.0.0 Secure the path from dependency to deployed artefact: SBOMs, dependency scanning, build provenance, artefact signing and CI/CD integrity. Use when the user mentions supply chain security, SBOM, CycloneDX or SPDX, SCA or dependency scanning, Sigstore or cosign, SLSA, provenance and attestation, a compromised or typosquatted package, or when the task involves hardening a build pipeline or answering a vendor security questionnaire about dependencies. security
supply-chain
sbom
sca
slsa
sigstore
provenance
dependencies
ci-cd-security
vulnerability-management
Read
Write
Edit
Bash(npm:*, pip:*, syft:*, grype:*, cosign:*, docker:*, git:*, osv-scanner:*, trivy:*)
Grep
Glob
author complexity
PCL Standard Library advanced

Supply Chain Security Expert

Most of what ships is code nobody on the team wrote. OWASP ranks software supply chain failures among the highest-impact categories in the 2025 Top 10, and EU regulation (NIS2, and the Cyber Resilience Act) now makes dependency management a compliance obligation rather than an engineering preference.

Core Concepts

The Attack Surface

Vector Example Primary control
Malicious package Typosquat, or a maintainer account takeover Pinning, provenance, install-script review
Compromised dependency Legitimate package backdoored in a release SBOM plus continuous scanning
Dependency confusion Internal package name resolved from a public registry Scoped registries, explicit source pinning
Build system compromise CI injects code into the artefact Hermetic builds, provenance attestation
Artefact tampering Registry image replaced after publication Signing, digest pinning, admission policy
Credential theft in CI A leaked token publishes a malicious release OIDC federation, least-privilege tokens

Know What You Ship

You cannot patch what you cannot enumerate. An SBOM is the inventory — generated at build time from what actually went in, not written by hand.

Provenance Is Stronger Than Scanning

Scanning tells you about known vulnerabilities. Provenance tells you that this artefact was built from this commit by that pipeline. When a new advisory lands, scanning finds it; when a build system is compromised, only provenance does.

SBOM

Generate at build time, store as a build artefact, attach to the release.

# From a container image, a filesystem, or a lockfile
syft packages ghcr.io/acme/api:1.4.2 -o cyclonedx-json > sbom.cdx.json
syft packages dir:. -o spdx-json > sbom.spdx.json

# Scan the SBOM rather than re-resolving dependencies
grype sbom:sbom.cdx.json --fail-on high
osv-scanner --sbom sbom.cdx.json

CycloneDX suits security use; SPDX suits licence compliance. Producing both costs one extra command.

An SBOM is only useful if it is queryable when an advisory lands:

# "Are we affected by the log4j-style advisory in package X?"
jq -r '.components[] | select(.name == "log4j-core") | "\(.name)@\(.version)"' sbom.cdx.json

Store SBOMs per release, indexed by artefact digest, retained as long as the artefact runs anywhere. The question always arrives after the release.

Dependency Hygiene

Pin, and pin transitively

npm ci                              # lockfile only; fails if package.json disagrees
pip install --require-hashes -r requirements.txt
cargo build --locked
go mod verify

npm install in CI can resolve differently from local. npm ci cannot — it is the difference between a reproducible build and a hope.

# requirements.txt with hashes: the registry cannot substitute content
cryptography==43.0.1 \
    --hash=sha256:8d09d05439ce7baa8e9e95b07ec5b6c886f548deb7e0f69ef25f64b3bce842f2

Review what you add

Before a new direct dependency: is it maintained, does it have more than one maintainer, what does it pull in transitively, what licence, and does it run install scripts?

npm view <pkg> maintainers time.modified
npm ls <pkg> --all                          # who actually depends on it
npx license-checker --summary
docker run --rm -v "$PWD:/src" aquasec/trivy fs --scanners vuln,license /src

Disable install scripts by default and allow them explicitly:

# .npmrc
ignore-scripts=true

Most package-manager compromises execute at install time. This one line removes that class.

Prevent dependency confusion

# .npmrc — internal scope resolves only from the internal registry
@acme:registry=https://npm.internal.acme.com/
//npm.internal.acme.com/:_authToken=${NPM_TOKEN}
# pip.conf — never mix; --extra-index-url silently prefers the highest version
[global]
index-url = https://pypi.internal.acme.com/simple

--extra-index-url pointing at both an internal and the public index is the dependency confusion vulnerability, not a mitigation: pip picks the highest version wherever it lives.

Vulnerability Management

Scanning produces more findings than anyone can fix. Triage by exploitability, not by CVSS alone.

osv-scanner --lockfile package-lock.json --lockfile requirements.txt
grype ghcr.io/acme/api:1.4.2 --fail-on critical --only-fixed
trivy image --severity HIGH,CRITICAL --ignore-unfixed ghcr.io/acme/api:1.4.2

Triage questions, in order:

  1. Is the vulnerable code path reachable from our application? Reachability analysis eliminates the majority of findings.
  2. Is it exploitable in our deployment — is that parser fed untrusted input?
  3. Is a fix available? --only-fixed separates actionable from noise.
  4. What is the exposure — internet-facing, or an internal batch job?

Record the decision. A VEX document states, machine-readably, that a component is present but not affected:

{
  "bomFormat": "CycloneDX",
  "specVersion": "1.6",
  "vulnerabilities": [
    {
      "id": "CVE-2026-12345",
      "analysis": {
        "state": "not_affected",
        "justification": "vulnerable_code_not_in_execute_path",
        "detail": "XML parsing is not reached; we use the JSON codec exclusively."
      }
    }
  ]
}

Without VEX, the same finding is re-triaged by every scanner run and every customer questionnaire.

Build Integrity

SLSA describes build integrity in levels. The useful progression:

Level Requirement Practical step
1 Provenance exists Emit build metadata
2 Signed provenance from a hosted builder GitHub Actions attestations
3 Hardened, isolated builds Reusable trusted workflow, no self-hosted runner reuse
name: release
on:
  push:
    tags: ['v*']

permissions:
  contents: read
  id-token: write # OIDC: no long-lived registry credentials
  attestations: write
  packages: write

jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
      - name: Build and push
        id: push
        run: |
          docker build -t "$IMAGE:$GITHUB_REF_NAME" .
          docker push "$IMAGE:$GITHUB_REF_NAME"
          echo "digest=$(docker inspect --format='{{index .RepoDigests 0}}' "$IMAGE:$GITHUB_REF_NAME")" >> "$GITHUB_OUTPUT"

      - uses: actions/attest-build-provenance@v2
        with:
          subject-name: ${{ env.IMAGE }}
          subject-digest: ${{ steps.push.outputs.digest }}
          push-to-registry: true

      - name: Generate and attach SBOM
        run: |
          syft "$IMAGE@${{ steps.push.outputs.digest }}" -o cyclonedx-json > sbom.cdx.json
          cosign attest --predicate sbom.cdx.json --type cyclonedx \
                        "$IMAGE@${{ steps.push.outputs.digest }}"

Pin actions to a commit SHA, not a tag. A tag is mutable: @v4 can be moved to point at anything, and that has been used in real attacks.

Signing and Verification

Signing that is never verified provides nothing. The verification step is the control.

# Keyless signing: identity from the OIDC token, recorded in a public transparency log
cosign sign --yes ghcr.io/acme/api@sha256:abc123...

# Verification, bound to the workflow that is allowed to build this
cosign verify ghcr.io/acme/api@sha256:abc123... \
  --certificate-identity-regexp="^https://github.com/acme/api/.github/workflows/release.yml@refs/tags/v" \
  --certificate-oidc-issuer=https://token.actions.githubusercontent.com

The identity constraints are the security. cosign verify without them confirms only that somebody signed it.

Enforce at admission, so an unsigned image cannot run:

apiVersion: kyverno.io/v1
kind: ClusterPolicy
metadata:
  name: require-signed-images
spec:
  validationFailureAction: Enforce
  rules:
    - name: verify-signature
      match:
        any: [{ resources: { kinds: [Pod] } }]
      verifyImages:
        - imageReferences: ['ghcr.io/acme/*']
          attestors:
            - entries:
                - keyless:
                    subject: 'https://github.com/acme/*/.github/workflows/release.yml@refs/tags/*'
                    issuer: 'https://token.actions.githubusercontent.com'

CI/CD Hardening

  • Least-privilege tokens. Default permissions: {} at the workflow level and grant per job.
  • No long-lived cloud keys. OIDC federation instead.
  • Never run untrusted code with secrets in scope. pull_request_target with a checkout of the fork's head is a well-known privilege escalation.
  • Pin actions and base images by digest.
  • Separate build from deploy credentials. A compromised build job should not be able to deploy.
  • Protect the release branch: required reviews, no force push, signed commits.
  • Log and retain build metadata — who triggered it, from which commit.

Best Practices

  • Generate an SBOM for every build, retained with the artefact.
  • Scan continuously, not only at build. New advisories apply to artefacts already released.
  • Fail the build on new critical findings, and allow documented exceptions with an expiry date.
  • Automate dependency updates (Renovate, Dependabot) with grouped PRs and a cooldown before adopting a brand-new release.
  • Keep an inventory of what runs where, so an advisory maps to deployments in minutes rather than days.
  • Prefer fewer dependencies. Every one is a trust decision and a maintenance obligation.

Anti-Patterns

  • Floating versions (^1.2.3, latest) in production builds.
  • npm install in CI instead of npm ci.
  • Tag-pinned actions and base images — mutable references.
  • Signing without verifying.
  • Scanning only at build time.
  • Ignoring transitive dependencies — most vulnerable code is transitive.
  • --extra-index-url mixing internal and public registries.
  • An SBOM generated once for an audit and never again.
  • Blanket suppression of findings with no justification or expiry.

Reference Documentation

  • Response Playbook — responding to a compromised dependency, incident triage, VEX authoring, and regulatory obligations

Resources