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-itemsgit 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-items)<a href="https://agentmods.dev/skills/julianobarbosa/claude-code-skills/research-add-items"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/research-add-items/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-items"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/research-add-items.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 | $0.00097 | $0.00815 |
| Opus 5 | $0.00048 | $0.00407 |
| Sonnet 5 | $0.00019 | $0.00163 |
| Haiku 4.5 | $0.00010 | $0.00081 |
Grade A, and why
research-add-items 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Add Items — Append to the Items List
In-place updates outline.yaml with additional research objects.
Trigger
/research-add-items
Pipeline position
/research-outline → ► /research-add-items ◄ → /research-deep → /research-report
Reachable any time after /research-outline has produced outline.yaml, but most useful before /research-deep so the new items get researched in the same parallel pass.
Workflow
Step 1 — Auto-locate outline
Glob */outline.yaml from the current working directory. Read it to know the existing items (avoid duplicates) and the current execution config.
Step 2 — Gather candidates from two sources
These two sources are gathered sequentially (AskUserQuestion blocks waiting on the user; web search can run in the background after). Do them in this order:
AskUserQuestion: "Which items do you want to add? Any specific names?" — capture whatever the user already has in mind.AskUserQuestion: "Should I also run a web-search agent for more candidates?" — if yes, launch a research subagent via theTasktool (subagent_type: general-purpose,run_in_background: true) seeded with the topic, the existing items list, and any items the user named in step 1 (so suggestions don't duplicate).
Step 3 — Merge, deduplicate, confirm
- Combine the user-supplied items and the subagent's suggestions.
- Deduplicate by case-insensitive name match against the existing
outline.yaml. - Show the merged candidate list to the user.
AskUserQuestionfor which to accept. - For each accepted item, capture:
name(required),category(optional),description(optional, short).
Step 4 — Save update
Append accepted items to outline.yaml, preserving existing structure. Save in place.
Item shape (matches /research-outline)
items:
- name: <item>
category: <optional>
description: <optional, short>
Output
Updated {topic}/outline.yaml — in-place modification, user confirms before save.
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 · 67 lines · 97 tokens per session scan A c8e3bae4d82f
research-add-items is a skill published in the GitHub repository julianobarbosa/claude-code-skills (10 stars, last pushed 16d ago), licensed MIT. It adds 97 tokens to every session and 815 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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