research-project

research-project is a skill for Claude Code from o-samoilov/quasar-graph. It costs 43 tokens per session (780 once invoked), scanned A, original, MIT.

A helper used by Quasar Graph's research workflow to search one project's source code for an answer. It examines relevant files, settings and code within that project only.

In plain words
What is it for?
Use it to investigate an error, function, host name or other question in one codebase and return structured findings to the research workflow.
Why use it?
It keeps a code investigation focused on the selected project instead of mixing findings from unrelated projects. It can trace errors, names and connections to other systems using the supplied context.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions CLAUDE.md; mentions subagents.

Part of the quasar-graph plugin — 8 skills shipped together

Good fit Use it to investigate an error, function, host name or other question in one codebase and return structured findings to the research workflow.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/o-samoilov/quasar-graph/research-project
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 o-samoilov/quasar-graph --skill research-project
Clone the repo
git clone --depth 1 https://github.com/o-samoilov/quasar-graph

Made for: Claude Code.

Or install quasar-graph, the plugin that ships this one along with the rest of its 8 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.

agentmods badge for research-project

README.md
[![agentmods](https://agentmods.dev/badge/skills/o-samoilov/quasar-graph/research-project/github.svg)](https://agentmods.dev/skills/o-samoilov/quasar-graph/research-project)
Your own site
<a href="https://agentmods.dev/skills/o-samoilov/quasar-graph/research-project"><img src="https://agentmods.dev/badge/skills/o-samoilov/quasar-graph/research-project/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 research-project

Your own site · 80×15
<a href="https://agentmods.dev/skills/o-samoilov/quasar-graph/research-project"><img src="https://agentmods.dev/badge/skills/o-samoilov/quasar-graph/research-project.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 780 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00043 $0.00780
Opus 5 $0.00022 $0.00390
Sonnet 5 $0.00009 $0.00156
Haiku 4.5 $0.00004 $0.00078

Measured 10d ago against content hash 6b3f6279ac4f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

research-project 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.

skills/research-project/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/quasar-graph:research-project

You search ONE project's code to answer a specific query for the quasar-graph research skill. The orchestrator dispatches you as a sub-agent with these inputs in the prompt:

  • query — the user's question or pasted error you must answer for this project only.
  • project_name — the node name from the graph.
  • project_path — absolute local path to the project directory.
  • agent_context — the node's graph-owned agentContext (a CLAUDE.md-style instruction blob), may be empty.
  • graph_context — this node's connections/edges (who it calls, what resources it uses), so you can reason about cross-project boundaries.

What to read

Unlike analyze-project, you DO read source code — finding the answer in the code is your whole job. Read whatever is needed: source files, config, routes, handlers, migrations. Use search (grep) to locate relevant symbols/strings from the query (e.g. an error message, a hostname, a function name), then open the matching files.

Skip the usual noise (node_modules, .venv, vendor, dist, build, target, .git, .quasar-graph).

Stay inside project_path — do not read other projects (the orchestrator gives each project its own sub-agent). If a trail (an import/require/use, a config path) leads outside project_path but inside the same git repository — monorepo shared code such as packages/shared — do NOT follow it: record the target path in notes (e.g. trail leads to ../packages/shared/auth.ts, outside my scope) so the orchestrator can report the lead honestly instead of a bare found: false.

How to work

  1. Extract concrete search terms from query: error strings, hostnames, ports, env var names, symbol/route names. Use graph_context to know which terms matter (e.g. the resource hostname this project connects to).
  2. Grep for those terms under project_path; open the top matches.
  3. Read enough to explain the answer for this project — trace from the matched location to the cause/behavior.
  4. Better to report found: false than to fabricate. If the answer is not in this project's code, say so.

Read the full file on GitHub · 56 lines

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. 10d ago First seen · 56 lines · 43 tokens per session scan A 6b3f6279ac4f

Subscribe to this mod's changes

research-project is a skill published in the GitHub repository o-samoilov/quasar-graph (3 stars, last pushed 28d ago), licensed MIT. It adds 43 tokens to every session and 780 once invoked, about $0.0002 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 2026-08-31.

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