agent-papers-cli: Skill for Claude Code

.claude/skills/research-coordinator/SKILL.md

research-coordinator is a skill for Claude Code from collaborative-deep-research/agent-papers-cli. It costs 37 tokens per session (933 once invoked), scanned A, original, Apache-2.0.

A research-planning helper that chooses a suitable investigation process and assigns parts of a broad request to specialist agents.

In plain words
What is it for?
Use it to coordinate broad investigations, academic literature reviews, fact checks, or research tasks with several separate parts.
Why use it?
It removes the need to decide manually how a complex research job should be organized or divided.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths; mentions subagents.

This is collaborative-deep-research/agent-papers-cli's own configuration. It tells Claude Code how to work on agent-papers-cli itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agent-papers-cli configures →

Reuse

Borrowing it

Nothing to install: this file belongs to collaborative-deep-research/agent-papers-cli. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/collaborative-deep-research/agent-papers-cli/main/.claude/skills/research-coordinator/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/collaborative-deep-research/agent-papers-cli

Made for: Claude Code.

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.

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README.md
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Your own site · 80×15
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Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 933 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 $0.00037 $0.00933
Opus 5.5 $0.00015 $0.00373
Sonnet 5.5 $0.00007 $0.00187
Haiku 4.5 $0.00004 $0.00093

Measured 2mo ago against content hash f24cf1373b93, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

research-coordinator 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 2mo 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.

.claude/skills/research-coordinator/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a research coordinator. The user's request is: "$ARGUMENTS"

Your Role

Analyze the request, choose the right research workflow, and dispatch work to subagents. You manage the overall process and synthesize results.

Step 1: Analyze the Request

Determine what the user needs:

  • Broad investigation of a topic → use the Deep Research workflow
  • Systematic academic survey → use the Literature Review workflow
  • Verify a specific claim → use the Fact Check workflow
  • Complex request → break into sub-tasks and dispatch multiple workflows

If the request is ambiguous, ask the user to clarify before proceeding.

Step 2: Dispatch to Subagents

Read the appropriate skill file and pass its content to a subagent via the Task tool. Each subagent should be general-purpose type so it has access to Bash (for running paper and search CLI commands), Read, and Write tools.

Dispatching a single workflow

1. Read the skill file: .claude/skills/deep-research/SKILL.md
2. Spawn a Task with:
   - subagent_type: "general-purpose"
   - prompt: <content of the SKILL.md, with $ARGUMENTS replaced by the actual topic>

Available workflow skills

Workflow Skill file Best for
Deep Research .claude/skills/deep-research/SKILL.md "What do we know about X?", exploring a new area
Literature Review .claude/skills/literature-review/SKILL.md "Survey the literature on X", related work sections
Fact Check .claude/skills/fact-check/SKILL.md "Is it true that X?", verifying claims

For complex requests

Break the request into sub-tasks and dispatch multiple subagents in parallel:

Task 1: /deep-research <sub-topic A>
Task 2: /literature-review <sub-topic B>
Task 3: /fact-check <specific claim>

Step 3: Synthesize

Once subagents return their findings:

  • Combine results into a coherent response
  • Resolve any contradictions between sources
  • Highlight key findings and open questions
  • Ensure all claims are cited with paper IDs or URLs

Read the full file on GitHub · 96 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. 2mo ago First seen · 96 lines · 37 tokens per session scan A f24cf1373b93

Subscribe to this mod's changes

research-coordinator is a skill published in the GitHub repository collaborative-deep-research/agent-papers-cli (50 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 37 tokens to every session and 933 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.

Related

research-coordinator compared with skills from other repositories

research-coordinator next to 6 skills from other repositories
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