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pinecone

pinecone is a skill for Claude Code, Codex from CodeInfinity1/Stram. It costs 34 tokens per session (489 once invoked), scanned A, a copy of axolotl, MIT.

A workflow guide for Pinecone, a hosted database used to store and search vector representations of data.

In plain words
What is it for?
Use it to prepare Pinecone indexes, create reproducible scripts or benchmarks, and manage approved provider connections.
Why use it?
It helps organize index preparation, dependencies, artifacts, and approval checks for Pinecone work.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 11repo 2mo ago A scan 34 tokens copy · 83% MIT

Good fit Use it to prepare Pinecone indexes, create reproducible scripts or benchmarks, and manage approved provider connections.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/codeinfinity1/stram/pinecone
View source ↗ CodeInfinity1/Stram
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add CodeInfinity1/Stram --skill pinecone
Clone the repo
git clone --depth 1 https://github.com/CodeInfinity1/Stram

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for pinecone

README.md
[![agentmods](https://agentmods.dev/badge/skills/codeinfinity1/stram/pinecone/github.svg)](https://agentmods.dev/skills/codeinfinity1/stram/pinecone)
Your own site
<a href="https://agentmods.dev/skills/codeinfinity1/stram/pinecone"><img src="https://agentmods.dev/badge/skills/codeinfinity1/stram/pinecone/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for pinecone

Your own site · 80×15
<a href="https://agentmods.dev/skills/codeinfinity1/stram/pinecone"><img src="https://agentmods.dev/badge/skills/codeinfinity1/stram/pinecone.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 489 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 83% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.00489
Opus 5.5 $0.00014 $0.00196
Sonnet 5.5 $0.00007 $0.00098
Haiku 4.5 $0.00003 $0.00049

Measured 1mo ago against content hash 73664b3c17af, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pinecone scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

83% identical to axolotl — 12 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/software-engineering/pinecone/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pinecone

This is a Stram-native skill. It is authored inside this repository and uses only Stram-owned tools, approval gates, artifacts, and optional dependency records.

When To Use

Use this skill when the user asks for pinecone planning, execution, verification, troubleshooting, or artifact creation inside Stram.

Tool Map

  • tool_search
  • tool_describe
  • capability_surface
  • write_note
  • native_security_policy
  • tool_output_store
  • pinecone_index_prepare
  • execute_code
  • python_interpreter
  • process
  • terminal
  • provider_registry
  • mcp_server_catalog
  • mcp_tool_call
  • optional_dependency_installer

Workflow

  1. Clarify the user's concrete pinecone objective, target environment, credentials already configured, and expected artifact or action.
  2. Use tool_search or capability_surface to find the native Stram tools for the domain before choosing a path.
  3. Run safe inspection/readiness steps first and write bounded notes or artifacts under the workspace or data directory.
  4. Create reproducible scripts, notebooks, benchmark commands, model cards, or vector-store plans using bounded local code execution.
  5. Gate GPU/cloud/provider work behind provider_registry, credential readiness, and explicit approval.
  6. Summarize what ran, what was skipped, what remains blocked, and the exact files or records created.

Safety And Boundaries

  • Do not import, execute, or vendor upstream assistant code for this skill.
  • Do not store raw secrets; store only environment variable names, secret references, or readiness booleans.
  • Use approvals for writes, sends, purchases, desktop control, process launches, provider calls, and destructive operations.
  • Do not run network scans, exploit tooling, cloud jobs, or GPU workloads without explicit authorization and scope.

Verification

  • Record concrete evidence paths or tool outputs before claiming completion.
  • Prefer dry-run or prepared artifacts when credentials, hardware, licenses, or live services are missing.
  • If a provider-specific runtime is not configured, report the missing credential or binary by name and stop before live execution.

Read the full file on GitHub · 53 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 53 lines · 34 tokens per session scan A 73664b3c17af

Subscribe to this mod's changes

pinecone is a skill published in the GitHub repository CodeInfinity1/Stram (11 stars, last pushed 2mo ago), licensed MIT. It adds 34 tokens to every session and 489 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 83% identical to axolotl, differing in 12 lines, and is treated as a copy.

Data and AIDatabasesRedis and cacheai-agentai-agentsai-toolsdesktop-automationdesktop-automation-softwaredesktop-automation-windows
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