flowspace-research-v2

flowspace-research-v2 is a skill for Claude Code from jakkaj/tools. It costs 33 tokens per session (8,100 once invoked), scanned A, original, MIT.

A codebase research skill that explores projects in parallel and returns organised findings for another agent to combine.

In plain words
What is it for?
It is for researching paths, symbols, or concepts, limiting the search to selected areas, excluding matching paths, and tagging findings by software domain.
Why use it?
It helps locate relevant files, symbols, and concepts across a project and its shared libraries without requiring one agent to inspect everything sequentially.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions subagents.

Good fit It is for researching paths, symbols, or concepts, limiting the search to selected areas, excluding matching paths, and tagging findings by software domain.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jakkaj/tools/flowspace-research-v2
View source ↗ jakkaj/tools
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 jakkaj/tools --skill flowspace-research-v2
Clone the repo
git clone --depth 1 https://github.com/jakkaj/tools

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.

agentmods badge for flowspace-research-v2

README.md
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Your own site
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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 flowspace-research-v2

Your own site · 80×15
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Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,100 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 $0.00033 $0.08100
Opus 5.5 $0.00013 $0.03240
Sonnet 5.5 $0.00007 $0.01620
Haiku 4.5 $0.00003 $0.00810

Measured 2mo ago against content hash 178cd329e685, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

flowspace-research-v2 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.

skills-old/flowspace-research-v2/SKILL.md · 1,032 lines

How it starts

The opening of the file, as written. The whole thing — 1,032 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Please deep think / ultrathink as this is a complex task.

flowspace-research

A FlowSpace-first research worker designed to BE a parallel subagent—receiving a focused research query, using FlowSpace MCP tools optimally, and returning structured findings for parent orchestrator synthesis.

Key Characteristics:

  • IS the subagent (does NOT launch subagents)
  • FlowSpace-first with graceful fallback to traditional tools (Glob/Grep/Read)
  • Multi-graph aware - searches across relevant graphs (local project, shared libs, vendor SDKs)
  • Domain-boundary aware - loads docs/domains/ registry, tags findings with domain origin, maps graphs to domains
  • Smart query detection (path/symbol/concept)
  • Structured output for easy synthesis by parent commands

Input Parameters

$ARGUMENTS
# Required:
#   <query>              Research query (positional, required)
#
# Optional:
#   --scope <path>       Limit search to path (e.g., "src/auth/")
#   --exclude <pattern>  Exclude paths matching pattern (e.g., "test")
#   --limit <N>          Max findings to return (default: 10)
#   --mode <type>        Force query mode: path | symbol | concept | auto (default: auto)
#   --graph <name>       Query specific graph(s): "default", "shared-lib", "all", or comma-separated list
#                        Default: auto-select relevant graphs based on query
#
# Examples:
#   /flowspace-research "AuthService"
#   /flowspace-research "authentication flow" --scope "src/" --exclude "test"
#   /flowspace-research "src/services/" --mode path --limit 20
#   /flowspace-research "RedisCache" --graph "cache-lib"
#   /flowspace-research "config patterns" --graph "all"

Execution Flow

1) FlowSpace Detection (with Graceful Fallback)

Strategy: Try FlowSpace first for enhanced exploration, fall back to traditional tools (Glob/Grep/Read) if unavailable.

# Pseudo-code for detection
try:
    # Fast, minimal probe - tests MCP availability and graph existence
    result = flowspace.tree(pattern=".", max_depth=1)
    FLOWSPACE_AVAILABLE = True
    print("✅ FlowSpace MCP detected - using enhanced exploration")

    # Check semantic search availability (optional, for concept queries)
    try:
        flowspace.search(pattern="test", mode="semantic", limit=1)
        SEMANTIC_AVAILABLE = True
    except:
        SEMANTIC_AVAILABLE = False
        print("ℹ️ Semantic search unavailable (run 'fs2 scan --embed' to enable)")

except Exception as e:
    FLOWSPACE_AVAILABLE = False
    SEMANTIC_AVAILABLE = False
    # GRACEFUL FALLBACK: Continue with traditional tools
    print("""
    ℹ️ FlowSpace MCP not available - using traditional tools (Glob/Grep/Read)

    Note: For enhanced exploration with code intelligence, install FlowSpace:
      1. Install fs2: uvx --from git+https://github.com/AI-Substrate/flow_squared fs2 install
      2. Initialize: fs2 init
      3. Scan codebase: fs2 scan
    """)
    # CONTINUE with traditional tools - do not stop

Read the full file on GitHub · 1,032 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 · 1,032 lines · 33 tokens per session scan A 178cd329e685

Subscribe to this mod's changes

flowspace-research-v2 is a skill published in the GitHub repository jakkaj/tools (5 stars, last pushed 24d ago), licensed MIT. It adds 33 tokens to every session and 8,100 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 2026-08-31.

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