Borrowing it
Nothing to install: this file belongs to AlexanderMattTurner/agent-glovebox. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/AlexanderMattTurner/agent-glovebox/main/.claude/skills/explore-plan/SKILL.mdgit clone --depth 1 https://github.com/AlexanderMattTurner/agent-gloveboxWrote 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/alexandermattturner/agent-glovebox/explore-plan)<a href="https://agentmods.dev/skills/alexandermattturner/agent-glovebox/explore-plan"><img src="https://agentmods.dev/badge/skills/alexandermattturner/agent-glovebox/explore-plan/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.
<a href="https://agentmods.dev/skills/alexandermattturner/agent-glovebox/explore-plan"><img src="https://agentmods.dev/badge/skills/alexandermattturner/agent-glovebox/explore-plan.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00171 | $0.01712 |
| Opus 5 | $0.00086 | $0.00856 |
| Sonnet 5 | $0.00034 | $0.00342 |
| Haiku 4.5 | $0.00017 | $0.00171 |
Grade B, and why
explore-plan scanned grade B with 1 finding 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 2d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
**Then name the ONE definition that will own each fact the change touches, before you list the files.** For every rule, list, threshold, mapping or vocabulary the plan adds or edits, grep for what already answers it, and How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Explore / Plan Skill
Exact context beats approximation and a written plan beats diving in. Outside plan mode no plan gate fires, so this skill is the gate: run the same steps, write the plan to a scratch file under /tmp/claude, and execute without pausing. Skip this for trivial edits (typos, single-line tweaks) — say so.
1. Explore (read-only)
Understand before changing. Trace the relevant files and data models read-only. Prefer references over descriptions: cite path/to/file.py:42 and read the real code rather than guessing. Pipe real errors in (cat error.log | claude) instead of paraphrasing them. Launch parallel Explore agents when scope is uncertain or spans multiple areas.
Every constraint exploration surfaces gets a verdict, not just a description: work around, or delete toward? A constraint written down without one becomes terrain the plan navigates — which is how a removable duplication survives a planning phase that found it. Answer in one clause per constraint: "two registries → delete toward the packaged one" or "KVM absent on this runner → work around". "Delete toward" is the answer whenever one side is authoritative (a published package, a generated artifact, an upstream already depended on); the cost of the deletion belongs in the plan as work, not as a reason to bridge instead.
2. Plan (written, explicit)
Write an explicit plan: the problem, the approach, the specific files to touch, and the existing helpers/patterns to reuse (search for them — do not invent new code when a utility already exists).
Then name the ONE definition that will own each fact the change touches, before you list the files. For every rule, list, threshold, mapping or vocabulary the plan adds or edits, grep for what already answers it, and write one line per fact: which definition owns it, and what happens to the other copies. A plan step that reads "and also update" is the tell, and so is a diff that edits two files to change one behaviour. Collapse the copies onto one definition in this change, then make the fix at that definition — a deliberate variant is a named sibling beside the owner, never a second copy at a call site. Three functions each deciding which lever a merge state takes is not three edits: it is the divergence the defect came from. .claude/rules/code-style.md owns the rest.
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.
- 2d ago Changed · +2 lines 08edf2644191
- 3d ago Changed 57ee4f8969a2
- 4d ago Changed · +2 lines scan A → B becb8818be83
- 5d ago Changed af2b3993c7c3
- 10d ago First seen · 65 lines · 171 tokens per session scan A 3fdf989b9350
explore-plan is a skill published in the GitHub repository AlexanderMattTurner/agent-glovebox (60 stars, last pushed yesterday), licensed Apache-2.0. It adds 171 tokens to every session and 1,712 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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