update-deps
À propos
Cette compétence audite et met à jour les dépendances npm/Bun avec des vérifications d'intégrité de la chaîne d'approvisionnement avant d'effectuer des modifications. Elle vérifie les mainteneurs, l'ancienneté de publication, les différences de tarball et la provenance, en reportant les paquets risqués pour un examen manuel. Utilisez-la pour mettre à jour les dépendances en toute sécurité tout en préservant la sécurité et l'intégrité tout au long du processus.
Installation rapide
Claude Code
Recommandénpx skills add backnotprop/plannotator -a claude-code/plugin add https://github.com/backnotprop/plannotatorgit clone https://github.com/backnotprop/plannotator.git ~/.claude/skills/update-depsCopiez et collez cette commande dans Claude Code pour installer cette compétence
Documentation
Update Dependencies
Audit outdated packages, verify supply chain integrity, bump what's safe, defer what needs review, and log everything.
This process has three phases: discovery, integrity audit, and execution. The integrity audit is the most important — every package gets checked before it touches the lockfile.
Phase 1: Discovery
Run bun outdated to get the full list of packages with available updates.
bun outdated
Parse the output into a structured list. For each package, note:
- Package name
- Current version
- Available update version
- Whether it's age-gated (indicated by
*in the output — the footnote "The * indicates that version isn't true latest due to minimum release age" confirms this) - Whether it's a runtime dep, dev dep, or peer dep
Also check whether any packages are blocked entirely by the age gate (like @pierre/diffs was when its minimum semver range couldn't resolve). Flag these separately — they may need minimumReleaseAgeExcludes in bunfig.toml.
Phase 2: Integrity Audit
This is the core of the process. Spawn one Sonnet sub-agent per package to run the integrity check in parallel. Sonnet is used here because these are independent, structured verification tasks that don't need heavier reasoning.
Each sub-agent receives the package name, current version, and target version, and performs the following checks:
Sub-agent prompt template
For each outdated package, spawn a Sonnet agent with this task:
You are auditing the npm package "{package}" for a version bump from {current} to {target}.
Run these checks and report back with a JSON object:
1. **Maintainer verification**: Check if maintainers changed between versions.
npm view {package}@{current} maintainers --json
npm view {package}@{target} maintainers --json
Compare the two lists. Flag any additions or removals.
2. **Publish date and age**: Get the publish timestamp.
npm view {package} time --json
Extract the date for version {target}. Calculate days since publication.
Flag if younger than 7 days.
3. **Provenance**: Check if the package has registry signatures or attestations.
npm audit signatures (if not already run this session)
Note whether the package has provenance attestations.
4. **Tarball diff**: Show what actually changed in the published package.
npm diff --diff={package}@{current} --diff={package}@{target}
Summarize the changes:
- How many files changed
- Are changes limited to version bumps, deps, and rebuilt dist? Or are there meaningful source changes?
- Any new runtime dependencies added?
- Any suspicious patterns (obfuscated code, eval(), network calls in unexpected places)
5. **Release notes**: Try to find what changed.
Check the package's repository for release notes or changelog:
npm view {package}@{target} repository.url
gh release view v{target} --repo <owner/repo> (try with and without v prefix)
Summarize the changelog if found.
Report your findings as JSON:
{{
"package": "{package}",
"from": "{current}",
"to": "{target}",
"age_days": <number>,
"maintainers_changed": <boolean>,
"maintainers_added": [],
"maintainers_removed": [],
"provenance": <boolean>,
"new_runtime_deps": [],
"files_changed": <number>,
"has_source_changes": <boolean>,
"changelog_summary": "<brief summary>",
"suspicious_patterns": [],
"verdict": "safe" | "review" | "defer",
"verdict_reason": "<one sentence explanation>"
}}
Verdict guidelines:
- "safe": Same maintainers, no new runtime deps, changes match what changelog describes, no suspicious patterns
- "review": Minor concerns (e.g., new maintainer who is clearly from the same org, small new dep from known publisher)
- "defer": Maintainer changes from unknown accounts, new runtime deps with unclear purpose, suspicious code patterns, substantive API changes that need integration testing
Collecting results
As sub-agents complete, collect their JSON reports. If a sub-agent fails or times out, mark that package as "defer" with reason "audit failed".
Tier classification
After collecting all results, classify packages into tiers. This helps the user understand the risk profile at a glance:
| Tier | Description | Typical action |
|---|---|---|
| Runtime, high surface | Libraries your code calls directly (parsers, diff engines, UI libs) | Check provenance, review diff, run tests |
| SDK/API deps | Third-party service SDKs (agent SDKs, platform integrations) | Read changelog for API changes, test integration |
| Dev-only | Type definitions, build tools, test frameworks | Update freely — these don't ship |
| Build toolchain | Bun itself, compilers, bundlers | Most caution — breakage affects all outputs |
Phase 3: Execution
Bump safe packages
For all packages with verdict "safe":
bun update pkg1@version1 pkg2@version2 ...
If the update fails due to age gate conflicts (a package's minimum semver can't resolve), add it to minimumReleaseAgeExcludes in bunfig.toml and document why.
Log to supply chain notes
Write the full audit results to ~/.supply-chain/notes/<YYYY-MM-DD>.json:
{
"date": "YYYY-MM-DD",
"project": "plannotator",
"bumped": [
{
"package": "...",
"from": "...",
"to": "...",
"age_days": 0,
"maintainers_changed": false,
"provenance": false,
"notes": "..."
}
],
"deferred": [
{
"package": "...",
"current": "...",
"available": "...",
"age_days": 0,
"maintainers_changed": false,
"reason": "...",
"review_by": "YYYY-MM-DD"
}
],
"excluded_from_age_gate": [
{
"package": "...",
"reason": "..."
}
]
}
Set review_by to 7 days from today for deferred packages.
Check previously deferred packages
Read all files in ~/.supply-chain/notes/ and collect any deferred packages from previous audits that are still at the same version in the current lockfile. These are packages that were deferred before and still haven't been updated.
To check: for each previously deferred entry, see if the current installed version matches the current field from the deferral note. If it does, the package is still deferred.
Phase 4: Recap
Present a clear summary to the user:
Updated
List each bumped package with version change and one-line reason it was safe.
Deferred
List each deferred package with version change and reason for deferral.
Still Deferred (from previous audits)
List any packages that were deferred in previous audit sessions and still haven't been bumped. Include the original deferral date and reason. This is the "you've been putting this off" section — it keeps deferred packages from being forgotten.
If the still-deferred list is empty, say so — that's a good sign.
Age Gate Exclusions
If any packages were added to minimumReleaseAgeExcludes, note them and why.
Dépôt GitHub
Compétences associées
llamaguard
AutreLlamaGuard est le modèle de Meta, doté de 7 à 8 milliards de paramètres, conçu pour modérer les entrées et sorties des LLM selon six catégories de sécurité comme la violence et les discours haineux. Il offre une précision de 94 à 95 % et peut être déployé avec vLLM, Hugging Face ou Amazon SageMaker. Utilisez cette compétence pour intégrer facilement le filtrage de contenu et des garde-fous de sécurité dans vos applications d'IA.
cost-optimization
AutreCette compétence de Claude aide les développeurs à optimiser les coûts du cloud grâce au redimensionnement des ressources, aux stratégies d'étiquetage et à l'analyse des dépenses. Elle fournit un cadre pour réduire les dépenses cloud et mettre en œuvre une gouvernance des coûts sur AWS, Azure et GCP. Utilisez-la lorsque vous devez analyser les coûts d'infrastructure, redimensionner les ressources ou respecter des contraintes budgétaires.
quantizing-models-bitsandbytes
AutreCette compétence quantifie les LLMs en précision 8 bits ou 4 bits à l'aide de bitsandbytes, permettant une réduction de 50 à 75 % de la mémoire utilisée avec une perte de précision minime. Elle est idéale pour exécuter des modèles plus volumineux sur une mémoire GPU limitée ou pour accélérer l'inférence, prenant en charge des formats comme INT8, NF4 et FP4. La compétence s'intègre à HuggingFace Transformers et permet l'entraînement QLoRA ainsi que l'utilisation d'optimiseurs en 8 bits.
dispatching-parallel-agents
AutreCette compétence Claude déploie plusieurs agents pour enquêter et résoudre simultanément 3 problèmes indépendants ou plus. Elle est conçue pour des scénarios impliquant des défaillances non liées qui peuvent être résolues sans état partagé ni dépendances. La capacité fondamentale est la résolution de problèmes en parallèle, en assignant un agent par domaine problématique indépendant afin de maximiser l'efficacité.
