re

re is a skill for Codex from dgk-dev/dgk-gpt. It costs 48 tokens per session (464 once invoked), scanned A, original, MIT.

An extra-research mode for coding tasks that need more source checking and justification before implementation.

In plain words
What is it for?
Use it when a task requires a research-heavy pass, such as comparing technical choices or checking version-sensitive behavior.
Why use it?
It reduces the chance of making decisions from incomplete, outdated, or conflicting information.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it when a task requires a research-heavy pass, such as comparing technical choices or checking version-sensitive behavior.

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Install with agentmods
npx agentmods add skills/dgk-dev/dgk-gpt/re
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 dgk-dev/dgk-gpt --skill re
Clone the repo
git clone --depth 1 https://github.com/dgk-dev/dgk-gpt

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 re

README.md
[![agentmods](https://agentmods.dev/badge/skills/dgk-dev/dgk-gpt/re/github.svg)](https://agentmods.dev/skills/dgk-dev/dgk-gpt/re)
Your own site
<a href="https://agentmods.dev/skills/dgk-dev/dgk-gpt/re"><img src="https://agentmods.dev/badge/skills/dgk-dev/dgk-gpt/re/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 re

Your own site · 80×15
<a href="https://agentmods.dev/skills/dgk-dev/dgk-gpt/re"><img src="https://agentmods.dev/badge/skills/dgk-dev/dgk-gpt/re.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 464 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 $0.00048 $0.00464
Opus 5.5 $0.00019 $0.00186
Sonnet 5.5 $0.00010 $0.00093
Haiku 4.5 $0.00005 $0.00046

Measured 1mo ago against content hash 0c6e6013129a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

re 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.

skills/re/SKILL.md · 53 lines

What it actually says

Re

Use this as a light override, not a rigid workflow. Keep Codex's default orchestration and only add extra diligence where it matters.

Defaults

  • Inspect the local codebase first.
  • Do research in 3 passes when the task is genuinely research-heavy:
    1. Plan 3-6 sub-questions.
    2. Retrieve sources for each sub-question and follow 1-2 second-order leads when useful.
    3. Synthesize only after resolving conflicts and gaps that could change the conclusion.
  • Use Context7 first for version-sensitive library or framework behavior.
  • Use native web first for current information.
  • Use Jina only when native web is not enough for long pages, PDFs, or parallel page reads.
  • Only cite sources retrieved in the current workflow, and label any inference that is not directly supported by those sources.
  • If sources conflict, state the conflict explicitly instead of averaging them into one answer.
  • If a search result is empty, partial, or suspiciously narrow, retry with a broader query, alternate wording, or a second source before concluding there is no answer.
  • Compare options only when there is a real tradeoff.
  • Implement once the decision is clear.
  • Run the smallest relevant verification commands before finishing.

Avoid

  • Do not force phases.
  • Do not produce long research reports unless the user asked for them or the task materially benefits.
  • Do not ask extra questions if local context is already enough.
  • Do not delegate work just because this skill is active.

Large Tasks

For long tasks, optional scratch notes can live in /tmp/re-research/<slug>/.

If useful, keep a short decisions.md with:

  • key findings
  • rejected options
  • remaining risks
  • pending verification

Finish

Keep the final response compressed:

  • decision
  • source-backed justification
  • key sources or citations when they materially matter
  • code or config changed
  • tests run
  • remaining unknowns
Files

What ships with it

1 file 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 · 53 lines · 48 tokens per session scan A 0c6e6013129a

Subscribe to this mod's changes

re is a skill published in the GitHub repository dgk-dev/dgk-gpt (55 stars, last pushed 7mo ago), licensed MIT. It adds 48 tokens to every session and 464 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 2026-08-30.

Related

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