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.
npx skills add rvk7895/llm-knowledge-bases --skill research-add-fieldsgit clone --depth 1 https://github.com/rvk7895/llm-knowledge-basesWrote 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.
[](https://agentmods.dev/skills/rvk7895/llm-knowledge-bases/research-add-fields)<a href="https://agentmods.dev/skills/rvk7895/llm-knowledge-bases/research-add-fields"><img src="https://agentmods.dev/badge/skills/rvk7895/llm-knowledge-bases/research-add-fields/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.
<a href="https://agentmods.dev/skills/rvk7895/llm-knowledge-bases/research-add-fields"><img src="https://agentmods.dev/badge/skills/rvk7895/llm-knowledge-bases/research-add-fields.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00008 | $0.00260 |
| Opus 5 | $0.00004 | $0.00130 |
| Sonnet 5 | $0.00002 | $0.00052 |
| Haiku 4.5 | $0.00001 | $0.00026 |
Grade A, and why
research-add-fields 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 10d 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.
What it actually says
Attribution: Originally authored by Weizhena. Included with attribution for use in the Deep query workflow.
Research Add Fields - Add Research Fields
Trigger Method
/research-add-fields
Execution Flow
Step 1: Auto-locate Fields File
Search for */fields.yaml file in the current working directory and automatically read existing field definitions.
Step 2: Get Supplement Source
Ask user to choose:
- A. Direct User Input: User provides field names and descriptions
- B. Web Search: Launch web-search-agent to search for commonly used fields in this domain
Step 3: Display and Confirm
- Display the list of suggested new fields
- User confirms which fields need to be added
- User specifies field categories and detail_level
Step 4: Save Updates
Append confirmed fields to fields.yaml and save the file.
Output
Updated {topic}/fields.yaml file (in-place modification, requires user confirmation)
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.
- 10d ago First seen · 32 lines · 8 tokens per session scan A 182008324902
research-add-fields is a skill published in the GitHub repository rvk7895/llm-knowledge-bases (37 stars, last pushed 2mo ago), licensed MIT. It adds 8 tokens to every session and 260 once invoked, about $0.0000 per session on Opus 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.
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