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 skills add richfrem/agent-plugins-skills --skill exploration-workflowgit clone --depth 1 https://github.com/richfrem/agent-plugins-skillsWrote 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/richfrem/agent-plugins-skills/exploration-workflow)<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/exploration-workflow"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/exploration-workflow/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/richfrem/agent-plugins-skills/exploration-workflow"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/exploration-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00046 | $0.00540 |
| Opus 5.5 | $0.00018 | $0.00216 |
| Sonnet 5.5 | $0.00009 | $0.00108 |
| Haiku 4.5 | $0.00005 | $0.00054 |
Grade A, and why
exploration-workflow 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 17d 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exploration Workflow (exploration-workflow)
Orchestrates the Business Exploration Loop, managing session state, living task ledgers, phase gates, and child skill dispatch.
Contents
Critical Constraints
- Zero blind jumps: Never bypass Phase 1 discovery even if requested to start building immediately.
- Update
exploration/exploration-dashboard.mdimmediately upon human approvals or scope revisions. - All downstream implementation tasks must cite source discovery artifacts and preserve traceability.
Quick start
- Pre-flight tool availability and select dispatch strategy (
copilot-cli,gemini-cli,claude-subagents, ordirect). - Initialize session dashboard at
exploration/exploration-dashboard.mdwith active session type. - Advance sequentially through gated phases (Discovery -> Behavioral Capture -> Prototyping -> Handoff).
Workflow
- Phase 1 (Discovery): Invoke
discovery-planning. Require explicit SME plan approval before prototyping. - Phase 2 (Behavioral Capture): Invoke
visual-companionorvibe-behavioral-test-capturefor interface flows. - Phase 3 (Prototyping): Delegate build slices to
subagent-driven-prototypingorprototype-builderwith TDD verifiers. - Phase 4 (Handoff): Invoke
exploration-handoffto synthesize artifacts into final deliverables.
Verification
- Verify
exploration/exploration-dashboard.mdreflects current session state and completed milestones. - Ensure all phase gate approvals are signed off prior to advancing.
- Validate that produced prototypes or specs satisfy discovery plan acceptance criteria.
References
What ships with it
19 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/exploration-cycle-workflow.mmd 55 B
- assets/exploration-dashboard.md 50 B
- assets/hybrid-workflow.mmd 44 B
- assets/Opportunities-3-4-Prototyping-and-Engineering.png 104 B
- evals/evals.json 824 B
- evals/results.tsv 172 B
- references/acceptance-criteria.md 42 B
- references/cheapest_models.json 40 B
- references/cheapest_models.md 38 B
- references/dispatch-strategies.md 42 B
- references/exploration-cycle-orchestrator-agent.md 55 B
- references/exploration-orchestrator-guide.md 53 B
- references/phase3-execution-discipline.md 50 B
- references/requirements-doc-agent.md 41 B
- scripts/check_gaps.py 30 B runs code
- scripts/dispatch.py 28 B runs code
- scripts/sandbox_runner.py 34 B runs code
- scripts/state_engine.py 32 B runs code
- scripts/validate_phase_gate.py 39 B runs code
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.
- 17d ago Changed · -419 lines · -75 tokens per session e147235ed0e8
- 1mo ago Changed · -2 lines c6ded85897c0
- 1mo ago First seen · 466 lines · 121 tokens per session scan A e0db0485e16c
exploration-workflow is a skill published in the GitHub repository richfrem/agent-plugins-skills (7 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 540 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
triage
Triage a GitHub repository's open issues by finding exact duplicates, rejecting evidenceably off-base requests, requesting concrete clarification, applying only existing labels, and opening a linked root-cause issue when multiple reports share one underlying invariant failure. Use when a maintainer asks to triage…
factory-handoff
Hand one exact agent-ready ticket to the central Factory runtime over the configured SSH forced-command boundary. Use when an operator asks to hand off an existing ticket or a prose request instead of implementing it in the current session.
ticket-spec
Turn a raw Linear Triage ticket into a fully specified ai:agent-ready one by exploring the codebase. Use when specifying, refining, or promoting tickets, or when asked why a ticket isn't dispatchable.
gh-file-issue
Use when filing a new Codewhale GitHub issue: turn a bug or idea into a well-formed, actionable issue with repro, acceptance criteria, labels, and milestone.
gh-treasure-hunt
Hunt the issue/PR queue for highest value-over-risk wins: clean focused community PRs, already-implemented issues to close, safe quick-fixes.
review-my-team
Review a connected Paperclip team's agents, tasks, blockers and pending approvals when the user asks for a team summary or what needs attention.