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 julianobarbosa/claude-code-skills --skill research-add-fieldsgit clone --depth 1 https://github.com/julianobarbosa/claude-code-skillsWrote 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/julianobarbosa/claude-code-skills/research-add-fields)<a href="https://agentmods.dev/skills/julianobarbosa/claude-code-skills/research-add-fields"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/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/julianobarbosa/claude-code-skills/research-add-fields"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/research-add-fields.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00093 | $0.00778 |
| Opus 5 | $0.00046 | $0.00389 |
| Sonnet 5 | $0.00019 | $0.00156 |
| Haiku 4.5 | $0.00009 | $0.00078 |
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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Add Fields — Append to the Field Schema
In-place updates fields.yaml with additional research dimensions.
Trigger
/research-add-fields
Pipeline position
/research-outline → ► /research-add-fields ◄ → /research-deep → /research-report
Reachable any time after /research-outline has produced fields.yaml, but most useful before /research-deep so deep agents fill the new fields in their first pass.
Workflow
Step 1 — Auto-locate fields file
Glob */fields.yaml from the current working directory. Read it to know what's already defined — so suggestions don't duplicate existing fields and you can show the user the current categories when asking.
Step 2 — Pick a supplement source
AskUserQuestion with two options:
- A. Direct input — user dictates field names, descriptions, and categories.
- B. Web search — launch a research subagent via the
Tasktool (subagent_type: general-purpose) to propose common fields in the topic's domain.
Step 3 — Display and confirm
- Show the candidate field list back to the user (whether from A or B).
AskUserQuestionfor each candidate: keep / drop / edit.- For each kept field, capture:
category(must match an existingfield_categories[].categoryor be a new one),detail_level(brief | moderate | detailed),required(defaultfalse).
Step 4 — Save update
Append the confirmed fields to fields.yaml, preserving existing structure and ordering. Save in place.
Field shape (matches /research-outline)
field_categories:
- category: <name>
fields:
- name: <field_name>
description: <what to capture>
detail_level: brief | moderate | detailed
required: false
Output
Updated {topic}/fields.yaml — in-place modification, user confirms before save.
Gotchas
- Adding
required: trueretroactively breaks already-completed items. If/research-deepalready produced JSONs for some items and you add a new required field, those JSONs will fail validation. Either add the field asrequired: false, or plan to re-run/research-deepfor the affected items. - Category names are matched literally. A new field whose
categorydoesn't match an existingfield_categories[].categorycreates a new top-level category in the schema. That's fine, but make sure it's intentional — a typo here is a silent split. - The web-search subagent in option B operates outside the conversation context. Hand it the topic and an explicit list of categories that already exist, so its proposals fit the schema rather than colliding with what's there.
fields.yamlis also consumed by~/.claude/skills/research-outline/validate_json.py. The schema this skill writes must stay compatible with that validator — samefield_categories[].fields[].name/requiredshape, no exotic YAML constructs.
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.
- 8d ago First seen · 69 lines · 93 tokens per session scan A c1d6e3ea259f
research-add-fields is a skill published in the GitHub repository julianobarbosa/claude-code-skills (10 stars, last pushed 16d ago), licensed MIT. It adds 93 tokens to every session and 778 once invoked, about $0.0005 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 2026-09-03.
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