dbs-theory-grounding

dbs-theory-grounding is a skill for Claude Code, Codex from dontbesilent2025/dbskill. It costs 106 tokens per session (4,751 once invoked), scanned A, original, no licence file.

A method for tracing claims in presentations, courses, copy, or methods back to credible theories, then reinterpreting examples through those theories and marking their limits.

In plain words
What is it for?
It helps ground an original theory, add sources to a presentation, judge whether a statement qualifies as theory, and check for forced use of a theory.
Why use it?
It helps test whether a claim is sound, find a reliable theoretical source, and avoid falsely attributing ideas to well-known people.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the dbs plugin — 35 skills shipped together

Good fit It helps ground an original theory, add sources to a presentation, judge whether a statement qualifies as theory, and check for forced use of a theory.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dontbesilent2025/dbskill/dbs-theory-grounding
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 dontbesilent2025/dbskill --skill dbs-theory-grounding
Clone the repo
git clone --depth 1 https://github.com/dontbesilent2025/dbskill

Made for: Claude Code, Codex.

Or install dbs, the plugin that ships this one along with the rest of its 35 skills.

Its marketplace also offers this one on its own, as the plugin dbs-theory-grounding — /plugin install dbs-theory-grounding after adding the marketplace above.

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 dbs-theory-grounding

README.md
[![agentmods](https://agentmods.dev/badge/skills/dontbesilent2025/dbskill/dbs-theory-grounding/github.svg)](https://agentmods.dev/skills/dontbesilent2025/dbskill/dbs-theory-grounding)
Your own site
<a href="https://agentmods.dev/skills/dontbesilent2025/dbskill/dbs-theory-grounding"><img src="https://agentmods.dev/badge/skills/dontbesilent2025/dbskill/dbs-theory-grounding/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 dbs-theory-grounding

Your own site · 80×15
<a href="https://agentmods.dev/skills/dontbesilent2025/dbskill/dbs-theory-grounding"><img src="https://agentmods.dev/badge/skills/dontbesilent2025/dbskill/dbs-theory-grounding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,751 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 18 Oct 2026
  • Snyk pass 18 Oct 2026
How audits are shown
Origin unknown 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 $0.00106 $0.04751
Opus 5.5 $0.00042 $0.01900
Sonnet 5.5 $0.00021 $0.00950
Haiku 4.5 $0.00011 $0.00475

Measured 19d ago against content hash eee359345292, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dbs-theory-grounding scanned grade A with 1 finding 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 19d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

用户明确要求不联网时,禁止调用网页搜索、浏览器、网络 API、`curl` 或任何其他外部检索能力。此时应:
skills/dbs-theory-grounding/SKILL.md · 336 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 19d ago Changed · +5 lines eee359345292
  2. 22d ago Changed 98643af11f58
  3. 2mo ago First seen · 331 lines · 106 tokens per session scan A 4c919ccebeb9

Subscribe to this mod's changes

dbs-theory-grounding is a skill published in the GitHub repository dontbesilent2025/dbskill (11,270 stars, last pushed 3d ago), with no licence file. It adds 106 tokens to every session and 4,751 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-07.

Related

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