io.github.Shawn5cents/agentskin
NPM · AGENTSKIN · SCANNED AUG 3
The Semantic Layer for AI Agents. Prunes noisy API data by 70%+ for token-efficient reasoning.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →
Supply Chain Security78
- No malware found by supply-chain analysis.Pass
- CVE check failed: a known medium-severity CVE affects @hono/node-server 1.19.17, a direct dependency. A fixed version is available. View diagnostics → Fail
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (110 of 111), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency32
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- License check failed: no license is declared. See how to fix → Fail
- Actively maintained (last published 7 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability57
- AI-judged instruction clarity (fair).Partial
- Tool/resource definitions use about 165 tokens (~82/item across 2 items; 2 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
- Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · agentskin
claude mcp add shawn5cents-agentskin -- npx -y agentskin
codex mcp add shawn5cents-agentskin -- npx -y agentskin
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"shawn5cents-agentskin": {
"type": "local",
"command": [
"npx",
"-y",
"agentskin"
],
"enabled": true
}
}
} openclaw mcp add shawn5cents-agentskin --command npx --arg -y --arg agentskin
mcp_servers:
shawn5cents-agentskin:
command: "npx"
args: ["-y", "agentskin"] {
"mcpServers": {
"shawn5cents-agentskin": {
"command": "npx",
"args": [
"-y",
"agentskin"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 2 Aug 26 +55
- GHSA-frvp-7c67-39w9 affects this package: medium ▼ security
- Known CVEs: unverified → fail ▼ security
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Malware scan: unverified → pass ▲ security
- License: unverified → fail ▼ functional
- Security disclosure: fail → unverified ▼ functional
- Schema quality: unverified → fair ▲ functional
- Dependency health: unverified → partial ▲ functional
- Maintenance: unverified → pass ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Stability: unverified → 0.23 ▲ functional
- Tool coverage: unverified → 100 ▲ functional
- 1 Aug 26 −23
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 31 Jul 26 −18
- Malware scan: pass → unverified ▼ security
- 27 Jul 26 46
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 3 Aug 2026 · Analysed npm/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Vulnerabilities 1 finding
| ID | CVE | Severity | Vector | Fix available |
|---|---|---|---|---|
| GHSA-frvp-7c67-39w9 | medium | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N | yes |
Dependencies 110 packages
110 packages in the resolved dependency tree · 110 deprecated · 32 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.
fetch_optimized_data ~110
Fetches any API or Web URL and returns a 90% token-optimized 'Skin'. Supports BYOK (Bring Your Own Key) for private data.
| Name | Type | Req | Description |
|---|---|---|---|
| headers | object | — | Optional: Custom HTTP headers (e.g. {'API-Key': 'your_key'}) for private data access. |
| signals | array | — | Optional: Specific keys you are looking for (e.g. ['price', 'status']). |
| url | string | yes | The raw API or JSON URL to fetch. |
No output schema declared.
No examples provided.
skin_reasoning ~55
Optimizes natural language text for LLM-to-LLM communication by removing fillers, hedges, and redundant phrases. Increases 'Reasoning Density'.
| Name | Type | Req | Description |
|---|---|---|---|
| text | string | yes | The raw text or agent reasoning to optimize. |
No output schema declared.
No examples provided.