DevVerse-SWE-Blog: Skill for Codex

.agents/skills/devverse-refresh-vectors/SKILL.md

devverse-refresh-vectors is a skill for Codex from hoangsonww/DevVerse-SWE-Blog. It costs 43 tokens per session (191 once invoked), scanned A, original, MIT.

A workflow for updating Pinecone article embeddings after article content or retrieval data changes. Embeddings are numerical representations used to find related text, and Pinecone is a service that stores them.

In plain words
What is it for?
Use it after MDX article, metadata, chunking, or vector metadata changes when the user needs the article index refreshed.
Why use it?
It helps keep chat search results aligned with the current articles and makes external-service, environment-variable, and quota limits visible.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

This is hoangsonww/DevVerse-SWE-Blog's own configuration. It tells Codex how to work on DevVerse-SWE-Blog itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything DevVerse-SWE-Blog configures →

Reuse

Borrowing it

Nothing to install: this file belongs to hoangsonww/DevVerse-SWE-Blog. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/hoangsonww/DevVerse-SWE-Blog/master/.agents/skills/devverse-refresh-vectors/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/hoangsonww/DevVerse-SWE-Blog

Made for: 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 devverse-refresh-vectors

README.md
[![agentmods](https://agentmods.dev/badge/skills/hoangsonww/devverse-swe-blog/devverse-refresh-vectors/github.svg)](https://agentmods.dev/skills/hoangsonww/devverse-swe-blog/devverse-refresh-vectors)
Your own site
<a href="https://agentmods.dev/skills/hoangsonww/devverse-swe-blog/devverse-refresh-vectors"><img src="https://agentmods.dev/badge/skills/hoangsonww/devverse-swe-blog/devverse-refresh-vectors/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 devverse-refresh-vectors

Your own site · 80×15
<a href="https://agentmods.dev/skills/hoangsonww/devverse-swe-blog/devverse-refresh-vectors"><img src="https://agentmods.dev/badge/skills/hoangsonww/devverse-swe-blog/devverse-refresh-vectors.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 191 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 original No closer match found 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 $0.00043 $0.00191
Opus 5.5 $0.00017 $0.00076
Sonnet 5.5 $0.00009 $0.00038
Haiku 4.5 $0.00004 $0.00019

Measured 1mo ago against content hash 9b5d4ec9fce4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

devverse-refresh-vectors 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.

.agents/skills/devverse-refresh-vectors/SKILL.md · 23 lines

What it actually says

DevVerse Vector Refresh Workflow

  1. Confirm why the refresh is needed. Common triggers are article content changes, metadata changes, chunking changes, or Pinecone metadata changes.

  2. Read the vectorization notes before running anything. @references/vectorization-notes.md

  3. Check for required env variable names without reading their values. Use .env.example as the contract.

  4. Explain that vector refresh calls external services. The script uses Gemini embeddings and Pinecone upserts.

  5. Run npm run vectorize:articles only when the user explicitly wants the refresh or the task clearly requires it.

  6. Report what changed, whether the refresh ran, and any env or quota blockers.

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 23 lines · 43 tokens per session scan A 9b5d4ec9fce4

Subscribe to this mod's changes

devverse-refresh-vectors is a skill published in the GitHub repository hoangsonww/DevVerse-SWE-Blog (15 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 191 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.

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