Agent skill

Research

by romiluz13 in romiluz13/cc10x

A skill your agent uses when research files (web or GitHub findings) are available and must be synthesized into a recommendation.

MITAuto-check passed

Install Research

skills CLI
$ npx skills add romiluz13/cc10x --skill research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install romiluz13/cc10x research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/romiluz13/cc10x.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/cc10x/skills/research .claude/skills/research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
research
GitHub stars
164
Token cost
~1.4k tokens
SKILL.md length
643 words
Files
1
Skills in repo
22
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when research files (web or GitHub findings) are available and must be synthesized into a recommendation.

  • Works in 6 steps: Answers the knowledge gap (the Reason… → Identifies the top 2-3 actionable patterns → Lists gotchas with solutions → …
  • Research files (web
  • SKILL.md covers Overview, Synthesis Goal, What Makes Good Synthesis and Same-Name Disambiguation, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Research is an agent skill from romiluz13/cc10x. Use when research files (web or GitHub findings) are available and must be synthesized into a recommendation. Synthesis guidance only; it does not execute research.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with GitHub. The repository describes itself as: The Loop Engine for Claude Code — engineer the loop, not the prompt. 1 router · 9 agents · 16 skills · 4 workflows. Fail-closed gates, test honesty, anti-anchored review. The licence is MIT.

When your agent uses it

  • Research files (web
  • GitHub findings) are available and must be synthesized into a recommendation

Example prompts

  • “/research”

Requirements

  • Pre-approved tools (allowed-tools): Read

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Answers the knowledge gap (the Reason field from your prompt)
  2. Identifies the top 2-3 actionable patterns
  3. Lists gotchas with solutions
  4. Provides specific references for debugging
  5. Reflects evidence quality honestly
  6. States the single finding that most changed the recommendation

What it can do on your machine

Read from SKILL.md and the folder at commit f346ebe. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Research loads about 1.4k tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 643 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from romiluz13/cc10x at commit f346ebe, republished under its MIT licence (© romiluz13). 643 words, ~1,415 tokens.

Download SKILL.mdSave it as .claude/skills/research/SKILL.md (or your agent's skills folder).
name
research
description
Use when research files (web or GitHub findings) are available and must be synthesized into a recommendation. Synthesis guidance only; it does not execute research.
allowed-tools
Read
user-invocable
false

Research Synthesis Guidance

Overview

This skill is loaded via SKILL_HINTS by cc10x:planner and cc10x:bug-investigator when the router passes research files in the prompt. It provides instructions for synthesizing web and GitHub research findings.

This skill does NOT execute research. Research execution is done by:

  • cc10x:researcher (web mode) — prefers Bright Data, falls back to WebSearch/WebFetch
  • cc10x:researcher (github mode) — prefers Octocode MCP, falls back to package/docs/GitHub web research

Synthesis Goal

After the router passes research file paths in your prompt, read the available files and produce a synthesis that:

  1. Answers the knowledge gap (the Reason field from your prompt)
  2. Identifies the top 2-3 actionable patterns
  3. Lists gotchas with solutions
  4. Provides specific references for debugging
  5. Reflects evidence quality honestly
  6. States the single finding that most changed the recommendation

What Makes Good Synthesis

Include:

  • Cross-source confirmation (when web + GitHub agree on a pattern, it's reliable)
  • Primary-source preference: prefer the source that owns the claim — spec, first-party docs, shipped code. A secondary write-up citing a primary loses to the primary.
  • Conflict resolution: when sources disagree, code-backed, cross-confirmed findings override single-source prose; shipped code overrides docs (docs describe intent; code is what runs). Partial matches (one strong source only) require adaptation — state the adaptation rationale explicitly.
  • Confidence calibration from the router-provided ## Research Quality block
  • Gotchas the user probably hasn't considered
  • Specific code snippets only when they materially change the recommendation

Exclude:

  • Raw dump of all findings (summarize)
  • Obvious things the AI already knows
  • Findings not relevant to the specific Reason for research

Same-Name Disambiguation

A name (package, repo, handle) is not a unique key. Researchers routinely retrieve content where one name collides across distinct entities — two npm packages publish under the same name, the same handle exists on two platforms run by different people, a repo name is forked or squatted under multiple owners. This is retrieval noise, not a source conflict.

Once the canonical entity is resolved — the one the project actually depends on, the owner/scope it ships under, the platform that matches the project's context — treat that resolution as authoritative:

  • Lead with the canonical entity. Synthesis answers for the resolved package/repo/handle, not for the name in the abstract.
  • Actively reject off-target same-name matches. Do not average them into the synthesis, do not merge their findings, do not hedge between them. A finding about the wrong left-pad is wrong, not low-confidence.
  • Resolve by anchor, not popularity. Pin to the version/scope in the project's manifest (package.json dependency name + version), the owner/repo the lockfile or import path points at, the platform the handle is referenced from. The most-starred or most-trafficked same-name hit is often not the project's.
  • Surface the collision when it changed the answer. If a researcher clearly retrieved the wrong entity, say so in one line (e.g. "GitHub findings were for acme/foo, but the project depends on @acme-internal/foo — discarded") rather than silently dropping them. This is distinct from a genuine source disagreement, which still follows the conflict-resolution rules above.
Show full SKILL.md (153 more words)Show less

Synthesis Format

markdown
## Evidence Quality
- Web: [high / medium / low / none]
- GitHub: [high / medium / low / none]
- Overall confidence: [high / medium / low]

## Web Findings
[3-5 bullets from web research. Focus on patterns and gotchas.]

## GitHub Findings
[3-5 bullets from GitHub. Focus on real implementation patterns.]

## Synthesis

**Knowledge Gap answered:** [One sentence: what we now know that we didn't before]

**Recommended approach:** [1-3 sentences: what to do]

**What changed the recommendation most:** [single sentence]

**Top patterns to apply:**
1. [Specific, actionable pattern]
2. [Specific, actionable pattern]

**Gotchas to avoid:**
- [Gotcha]: [Solution]

**References for debugging:**
- [URL or GitHub repo path]

Handling Partial Research

If GitHub researcher returned [GitHub phase unavailable]:

  • Note it in the synthesis header: "GitHub research unavailable — Web only"
  • Use web findings only for synthesis

If BOTH unavailable:

  • State clearly: "Research unavailable — all sources down. Proceeding with AI knowledge only."
  • Lower confidence and rely on repo-local evidence first.

Quality weighting:

  • high: multiple concrete sources or code-backed findings
  • medium: one strong source or partial cross-confirmation
  • low: indirect, sparse, or web-only/package-only signals
  • none: no usable external findings

Memory Output

Do not edit .cc10x/*.md directly from this skill or from the host agent. allowed-tools: Read in this skill's frontmatter pre-approves Read; it does not restrict other tools, so this rule is an instruction to the host agent, not a tool restriction.

Instead, surface the most durable takeaway through the host agent's MEMORY_NOTES, for example:

  • one research-backed gotcha worth preserving
  • one reference path worth indexing
  • one confidence caveat if research quality was degraded

© romiluz13, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/cc10x/skills/research of romiluz13/cc10x.

Open the folder on GitHubat commit f346ebe

Compare with similar skills

Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Research this skillromiluz13/cc10x164—~1.4kAutomated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Diagnosing Superpowers Sessionsobra/superpowers296k3 repos~1.7kAutomated safety check: PassMIT
GitHub Deep Researchbytedance/deer-flow83k5 repos~1.3kAutomated safety check: PassMIT
Greplooponyx-dot-app/onyx32k4 repos~3.3kAutomated safety check: PassMIT
Update V8 Versionopeninterpreter/openinterpreter69k2 repos~845Automated safety check: PassApache-2.0

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Works with

Questions about Research

What does Research do?

A skill your agent uses when research files (web or GitHub findings) are available and must be synthesized into a recommendation. Research is an agent skill from romiluz13/cc10x. Use when research files (web or GitHub findings) are available and must be synthesized into a recommendation.

When should I use Research?

Research fits situations like: research files (web; GitHub findings) are available and must be synthesized into a recommendation.

How do I install Research in Claude Code?

Run `npx skills add romiluz13/cc10x --skill research -a claude-code`. Or copy the skill folder (plugins/cc10x/skills/research in romiluz13/cc10x) into .claude/skills/research in your project. Claude Code loads it when a task matches its description.

How do I install Research in Codex?

Run `npx skills add romiluz13/cc10x --skill research -a codex`. Or copy the skill folder (plugins/cc10x/skills/research in romiluz13/cc10x) into .agents/skills/research in your project. Codex loads it when a task matches its description.

Can I use Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add romiluz13/cc10x --skill research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research, .gemini/skills/research, .github/skills/research and .opencode/skills/research in your project.

What does Research need to run?

SKILL.md names no scripts, command-line tools or credentials: Research is instructions for the agent only. Its frontmatter pre-approves these tools: Read.

Does Research access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Research safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Research use?

Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Research use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Research?

Skills that share tags, products or a category with Research: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Diagnosing Superpowers Sessions (obra/superpowers, 296k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars) and Greploop (onyx-dot-app/onyx, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research?

romiluz13 (a GitHub user) maintains it in romiluz13/cc10x, which has 164 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on October 7, 2026.

Source: romiluz13/cc10x on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.