ClawHub

Pendle PT Research

v1.0.0

Research Pendle PT (principal token) markets, including unlevered hold-to-par ideas, near-expiry rotations, and looped PT strategies across money markets lik...

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by@moshu
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
medium confidence
✓
Purpose & Capability
Name/description align with included artifacts: scanning/ranking scripts, market JSON data, and reference docs that support Pendle PT research and loopability analysis. Required env vars/binaries/config paths are none, which fits a read-only research skill.
✓
Instruction Scope
SKILL.md stays within the stated purpose: it directs the agent to use Pendle market pages, protocol-verified sources (Morpho/Euler), Pencosystem, and local references/manuals. It explicitly instructs reading references/manual-contango-comparison.md for specific queries. The instructions do not ask the agent to read unrelated system files, harvest credentials, or exfiltrate data to unexpected endpoints.
✓
Install Mechanism
No install spec is provided (instruction-only), so nothing will be downloaded or written automatically during install. This minimizes install-time risk.
✓
Credentials
The skill declares no environment variables or primary credential and does not request access to unrelated services. The datasets and referenced external endpoints (Pendle, Morpho, Euler, Contango, etc.) are appropriate to the described research function.
✓
Persistence & Privilege
always: false and model invocation is allowed (default). The skill does not request permanent system presence or to modify other skills. There is no evidence it attempts to elevate privileges or persist beyond its own files.
Assessment
This skill appears coherent for Pendle PT market research: its SKILL.md, data files, and scripts all match the stated purpose and it requests no secrets. Before running any included scripts, review their full source for network endpoints, shell execution, or file-write behavior (some file contents were truncated in the provided package). If you will execute scripts locally, run them in an isolated environment (container or VM), confirm they only call expected APIs (Pendle, Morpho, Euler, Contango, etc.), and ensure you do not supply private keys or credentials unless you understand why they are needed. If you need higher assurance, paste the full contents of the Python scripts for a deeper review.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

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