agentmods.dev

deepscan-monitor

deepscan-monitor is a skill for Claude Code from papersflow-ai/papersflow-skills. It costs 37 tokens per session (520 once invoked), scanned A, original, MIT.

A tool for starting and monitoring DeepScan, a longer-running research job in PapersFlow. It reports progress, partial findings, and the final research report when available.

In plain words
What is it for?
It helps start research runs, check their status, review interim findings, retrieve completed reports, summarise past runs, and plot stable report data.
Why use it?
Long research jobs do not finish in one response, so it shows what has happened and whether the report is ready.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the papersflow-skills plugin — 4 skills, 1 MCP server shipped together

not rated 5repo 6mo ago A scan 37 tokens original MIT

Good fit It helps start research runs, check their status, review interim findings, retrieve completed reports, summarise past runs, and plot stable report data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/papersflow-ai/papersflow-skills/deepscan-monitor
View source ↗ papersflow-ai/papersflow-skills
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 papersflow-ai/papersflow-skills --skill deepscan-monitor
Clone the repo
git clone --depth 1 https://github.com/papersflow-ai/papersflow-skills

Made for: Claude Code.

Or install papersflow-skills, the plugin that ships this one along with the rest of its 4 skills, 1 MCP server.

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 deepscan-monitor

README.md
[![agentmods](https://agentmods.dev/badge/skills/papersflow-ai/papersflow-skills/deepscan-monitor/github.svg)](https://agentmods.dev/skills/papersflow-ai/papersflow-skills/deepscan-monitor)
Your own site
<a href="https://agentmods.dev/skills/papersflow-ai/papersflow-skills/deepscan-monitor"><img src="https://agentmods.dev/badge/skills/papersflow-ai/papersflow-skills/deepscan-monitor/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 deepscan-monitor

Your own site · 80×15
<a href="https://agentmods.dev/skills/papersflow-ai/papersflow-skills/deepscan-monitor"><img src="https://agentmods.dev/badge/skills/papersflow-ai/papersflow-skills/deepscan-monitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 520 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 $0.00520
Opus 5 $0.00018 $0.00260
Sonnet 5 $0.00007 $0.00104
Haiku 4.5 $0.00004 $0.00052

Measured 12d ago against content hash 274764a90706, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

deepscan-monitor 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 12d 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/deepscan-monitor/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DeepScan Monitor

Use this skill when the user wants Claude to manage a longer-running PapersFlow research workflow instead of a single search call.

Workflow

  1. Use run_deepscan to start the job.
  2. Immediately tell the user that the run is asynchronous.
  3. Poll with get_deepscan_live_snapshot for the best live view of:
    • progress
    • status message
    • checkpoint state
    • top papers
    • partial summary
    • key findings
  4. Fall back to get_deepscan_status if the user only wants lightweight progress checks.
  5. Once finalReportAvailable is true or the run is completed, call get_deepscan_report.
  6. Use summarize_evidence when the user wants a cross-report summary from stored DeepScan history.
  7. Use run_python_plot only after you have stable report data worth plotting.

Important Behavior

  • Do not imply the MCP server will push completion notifications into Claude automatically.
  • Poll deliberately and explain that the run is being checked.
  • Prefer get_deepscan_live_snapshot over get_deepscan_status when the user wants richer live information.
  • If a report is not ready yet, say that clearly and keep the next action obvious.

Progress Update Style

When a run is still active, summarize:

  • current status
  • progress percentage
  • current stage or status message
  • any checkpoint question
  • notable live papers
  • key findings if available

Keep updates brief unless the user asks for more detail.

Plotting Guidance

Use run_python_plot only for meaningful visualizations after you have stable report outputs, for example:

  • papers by year
  • citation distribution
  • venue distribution
  • grouped comparison across a small number of finished runs

Do not generate plots for sparse or obviously low-quality data without saying so.

Examples

  • User asks: "Run a DeepScan on evaluation benchmarks for agentic retrieval systems and keep me posted."
  • User asks: "Check how my DeepScan is progressing and tell me the key findings so far."
  • User asks: "The run is finished, summarize the final report and plot papers by year."
  • User asks: "Summarize the evidence from my recent DeepScan reports on protein structure prediction."

Read the full file on GitHub · 63 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. 12d ago First seen · 63 lines · 37 tokens per session scan A 274764a90706

Subscribe to this mod's changes

deepscan-monitor is a skill published in the GitHub repository papersflow-ai/papersflow-skills (5 stars, last pushed 6mo ago), licensed MIT. It adds 37 tokens to every session and 520 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.

Analytics and metricsClaude CodeResearchagent-skillscodex-cligemini-climcpmodel-context-protocol
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