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.
npx agentmods add skills/p47phoenix/claude-plugins/exploratorynpx skills add P47Phoenix/Claude-Plugins --skill exploratorygit clone --depth 1 https://github.com/P47Phoenix/Claude-PluginsWrote 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.
[](https://agentmods.dev/skills/p47phoenix/claude-plugins/exploratory)<a href="https://agentmods.dev/skills/p47phoenix/claude-plugins/exploratory"><img src="https://agentmods.dev/badge/skills/p47phoenix/claude-plugins/exploratory.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00071 | $0.00999 |
| Opus 5 | $0.00036 | $0.00500 |
| Sonnet 5 | $0.00014 | $0.00200 |
| Haiku 4.5 | $0.00007 | $0.00100 |
Grade A, and why
research-types-exploratory 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exploratory Research Sub-Skill
Router-dispatched paradigm sub-skill for Exploratory research. Not directly model-invocable; the research-agent parent loads this sub-skill only when Phase 1 detection classifies the question as Exploratory.
When This Sub-Skill Loads
The parent router dispatches here when the input question contains signals like:
- "How does X work / arise / unfold"
- "How can / How might"
- "Explore", "Discover", "Investigate the space of"
- "What factors influence / shape"
- Domain-mapping requests where the goal is understanding, not choosing
Disambiguation rule (from research-agent/references/research-type-patterns.md):
"Compare X to understand Y" where understanding Y is the goal → Exploratory (not Comparative). Comparison is a method here, not the purpose.
Framework Selection
| Framework | Use When |
|---|---|
| SPICE | Lived-experience or context-bound exploration ("how do users in setting X experience Y") |
| None | Open-ended early-stage exploration; decompose into 3-5 sub-questions instead |
PICO and PECO are not typical for Exploratory work — both presuppose a defined intervention or exposure with a measurable outcome, which Exploratory research has not yet established.
Output Pattern: Discovery Report
Use this pattern verbatim for the Findings section (parent skill's Phase 6 Synthesis output):
## Research Type: Exploratory
## Framework: [None / SPICE]
## Domain Boundaries
[What is in scope vs. out of scope for this exploration]
## Emerging Themes
Theme 1: [Name]
- Evidence: [S1], [S3]
- Frequency: [how often this theme appears across sources]
- Connections: [related to Theme 2 via ...]
Theme 2: [Name]
...
## Conceptual Relationships
[How themes connect - describe the emerging model]
## Theoretical Saturation Check
[Are additional sources still revealing new themes, or has saturation been reached?]
## Preliminary Model (Provisional)
[Draft conceptual model from discovered themes - explicitly labeled as provisional]
## Open Questions Generated
[What this exploration reveals we do NOT yet know]
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.
- 3d ago First seen · 94 lines · 71 tokens per session scan A b615c219321d
research-types-exploratory is a skill published in the GitHub repository P47Phoenix/Claude-Plugins (2 stars, last pushed 3mo ago), licensed MIT. It adds 71 tokens to every session and 999 once invoked, about $0.0004 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…