A research workflow for investigating questions, checking facts with sources, comparing competitors, studying markets, reviewing published work, and making evidence-based recommendations.

It helps with web research, source-backed reports, literature reviews, competitor studies, market research, and research-based decisions.

It provides a structured way to gather and compare information before reaching a conclusion.

research — Skill for Claude Code and Codex by GiaSip

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 GiaSip/giasip-skills --skill research

Clone the repo

git clone --depth 1 https://github.com/GiaSip/giasip-skills

Made for: Claude Code, Codex.

Or install giasip-skills, the plugin that ships this one along with the rest of its 3 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/giasip/giasip-skills/research/github.svg)](https://agentmods.dev/skills/giasip/giasip-skills/research)

Your own site

<a href="https://agentmods.dev/skills/giasip/giasip-skills/research"><img src="https://agentmods.dev/badge/skills/giasip/giasip-skills/research/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/giasip/giasip-skills/research"><img src="https://agentmods.dev/badge/skills/giasip/giasip-skills/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 448 The whole file, excluding the scripts and references it only reads on demand.

Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Excessive Agency · line 288
Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00071	$0.00448
Opus 5	$0.00036	$0.00224
Sonnet 5	$0.00014	$0.00090
Haiku 4.5	$0.00007	$0.00045

Measured 4d ago against content hash 49818a2fb4c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade C, and why

research scanned grade C 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 4d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/validate-audit.py, scripts/verify-quotes.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

- Read and write only inside the output directory. Never `rm -rf`.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

giasip-research — 97% identical, 2 lines differ

plugins/giasip/skills/research/SKILL.md · 21 lines

What it actually says

✦ GiaSip · github.com/GiaSip/giasip-skills

GiaSip Research

Goal. Get the user accurate information that answers their question. Accuracy is a hard constraint; breadth is a means (you must gather widely to hit the accurate parts).

Method. Split the question into 2–3 complementary facets and run one sub-agent per facet in parallel. Sub-agents only gather, they do not conclude. Each sub-agent stops after at most 15 searches/fetches and returns compact findings without writing files. The main agent then writes a single report.md: answer the user's questions one by one, list every entity found with its URL, keep the body under 200 lines, and end with a separate "To verify" section.

Discipline (hard rules)

Every fact carries a source URL. Prefer official / owner primary sources; label source type (primary / third-party / media).
If it cannot be found, write "not found" — never fill from memory. Dates are absolute. GitHub stars and timestamps come from gh api snapshots, not search-result pages.
Read and write only inside the output directory. Never rm -rf.
Before anything goes out under a real name, quotes a price, or states a legal/financial conclusion, run a verification pass on the claims.

Meta-rule. This skill only changes in response to a human comment made at the point of use (kept in FEEDBACK.md beside it). AI review feedback never edits it directly. Two controlled runs (2026-09-05/06) showed that growing this skill from 0 to 144 to 433 lines left precision flat, narrowed recall, and cost 6–13× more.

Files

What ships with it

9 files 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.

4d ago Changed · -407 lines · -15 tokens per session scan A → C 49818a2fb4c1
12d ago First seen · 428 lines · 86 tokens per session scan A a5d2616a142f

Subscribe to this mod's changes

research is a skill published in the GitHub repository GiaSip/giasip-skills (12 stars, last pushed 3d ago), licensed MIT. It adds 71 tokens to every session and 448 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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