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π¦ Package Supply-Chain Sentinel
Review local dependency manifests for lifecycle-script, source-URL, download-command and version-management clues before installation.
$19
π¦ Package Supply-Chain Sentinel
Example session with this skill installed
Explain how to review the included risky-sample fixture before scanning a real dependency snapshot. Do not install packages or claim a dependency is safe.
- Read your context and instructions
- Compiled the package supply-chain sentinel
Fixture-first review guide
This is an illustrative workflow explanation, not a captured scan or an assessment of a real dependency.
- Ask your connected agent to load SKILL.md, the scanner and the referenced supporting files. For a separately obtained download, extract the complete folder and keep its structure intact.
- Use Python 3.10+ to run the scanner against the included risky-sample fixture before providing your own files.
- Inspect text-pattern clues for lifecycle-script mentions, non-registry sources, download commands and version-management terms. A match does not establish malicious intent.
- Use the supplied checklist for manual package-name, reputation and lockfile-change review. Do not invent download counts or hash-verification results.
- Provide only a stable non-secret snapshot. Review output before sharing; filenames may be sensitive.
Result states: REVIEW means inspect findings. CANNOT_ASSESS means coverage is incomplete. NO_HEURISTIC_FINDINGS is not a safety guarantee.
Boundary: No package installation, hook execution, registry-hash authentication or Git provenance verification.
Connects securely to your tools. The creator never sees your data.
About this skill
Review dependency clues before installation
Package Supply-Chain Sentinel combines a local Python text-pattern scanner with checklists for manual package-name, reputation and lockfile-change review. Automated findings are review clues, not confirmed malicious behavior.
What you get
An agent-loaded SKILL.md workflow with a Python scanner, references, fixtures and tests. Your connected host must retrieve the supporting files and execute Python; Agensi is not the Python runtime. Four rules check lifecycle-script mentions, non-registry source references, download commands, and floating-version or package-management clues. It is not a hosted app or a vulnerability database.
Requirements and version
Package v1.1.2 requires Python 3.10+ with the standard library and an agent host capable of retrieving supporting files and running Python. A local installation is needed only if your chosen host does not provide that runtime. For a separately obtained download, extract the complete folder. Start with the included fixture. An AI-agent subscription or setup service is not included.
Reports and limits
Reports omit source excerpts and matched values. Missing, unreadable or incomplete inputs return CANNOT_ASSESS. Files over 5 MiB are not scanned. Additional matches beyond 500 findings stop scanning with a finding_limit notice. Use only stable, reviewed non-secret snapshots. Filenames can still be sensitive; inspect reports before sharing. This is not a race-resistant sandbox or a total runtime guarantee.
Separate manual review
Package-name/typosquatting and lockfile-change checks require manual evidence review. The scanner does not authenticate registry hashes, verify Git provenance, query CVE or reputation services, install packages, execute lifecycle hooks or prove a dependency safe. Absence of findings is not proof of safety or complete coverage.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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