Publisher

Skills by dshcorrectover

3 published skills, 6 installs in total.

MCP security audit for AI-agent configs — run it before connecting any MCP server. 14 automated static rules catch hardcoded credentials, arbitrary command execution, writable mounts, SSRF attack surface, prompt-injection risks, plaintext HTTP endpoints and unpinned remote launchers, so unsafe agent tool calls get stopped before they run. Outputs CRIT/HIGH/MED/LOW findings with concrete fix advice. Runs 100% locally with zero network calls. Use when reviewing, auditing or scanning an MCP/agent server config (mcpServers JSON) for security issues, before wiring it into an agent.

by dshcorrectover4 installs

Offline Ed25519 signature verification for AI-agent audit receipts. Verify that a CCS receipt was signed by a known signer and never tampered with: Ed25519 verification, RFC 8785 JCS canonicalization, SHA-256 content-hash recomputation and 22-field schema/tamper checks, using the vendored open-source CCS verification core. Zero network calls; only the receipt and the issuer public key are needed, private keys are never involved. Use when verifying a CCS receipt, verifying an Ed25519-signed agent decision receipt, or proving whether a signed agent-tool-call receipt was tampered after issuance.

by dshcorrectover1 installs

Batch Ed25519 signature verification for up to 200 AI-agent audit receipts, fully offline. Every receipt is checked against one issuer public key with Ed25519 verification plus RFC 8785 JCS/SHA-256 integrity checks; outputs aggregate valid/invalid statistics, pass rate, tampered-index list with per-receipt failure reasons, and optional hash-chain linkage, using the vendored open-source CCS verification core. Zero network calls. Use when batch-verifying CCS receipts, auditing a batch of signed agent decision receipts, or verifying a receipt chain.

by dshcorrectover1 installs

About Ottermind skills

Every published skill from dshcorrectover. Following a publisher whose work already fits how you operate is often faster than evaluating individual skills one at a time.

Skills cover the full range of what an Ottermind agent does: building editable PowerPoint decks, generating product and brand images, writing and running code on a machine you connect, producing video from a script or a still, and cleaning and analysing spreadsheet data. A skill is what turns a general model into something that handles your specific version of one of those jobs the same way every time.

A skill is a plain Markdown file with a short frontmatter header, which means you can read exactly what it will do before running it, edit it to match your own conventions, and share it with colleagues. Once a skill produces the result you wanted, it can be attached to an agent or scheduled as an automation so the same work happens again without anyone rewriting the prompt.

What is an Ottermind skill?
A reusable instruction package written in Markdown. It gives an agent the context, steps, and constraints for one kind of task, so results stay consistent instead of depending on how well you phrased the prompt that day.
How do I install and use a skill?
Open any skill's detail page, read the full document, and install it into your workspace. From then on the agent can use it automatically when the task matches, or you can invoke it by name.
Can I create my own skill?
Yes. A skill is a Markdown file with frontmatter naming it and describing when it should be used. If you have a workflow you keep re-explaining to an agent, writing it down once as a skill is usually the shortest path to making it repeatable.
Do skills cost extra?
Browsing and installing skills from this library does not cost anything on its own. Running one consumes the same credits as any other agent task, depending on the model you choose and how much work the task involves.