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 stanislavnianko/product-discovery-claude-skills --skill discovery-conductorgit clone --depth 1 https://github.com/stanislavnianko/product-discovery-claude-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/stanislavnianko/product-discovery-claude-skills/discovery-conductor)<a href="https://agentmods.dev/skills/stanislavnianko/product-discovery-claude-skills/discovery-conductor"><img src="https://agentmods.dev/badge/skills/stanislavnianko/product-discovery-claude-skills/discovery-conductor/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/stanislavnianko/product-discovery-claude-skills/discovery-conductor"><img src="https://agentmods.dev/badge/skills/stanislavnianko/product-discovery-claude-skills/discovery-conductor.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 | $0.00085 | $0.00805 |
| Opus 5 | $0.00043 | $0.00402 |
| Sonnet 5 | $0.00017 | $0.00161 |
| Haiku 4.5 | $0.00009 | $0.00081 |
Grade A, and why
discovery-conductor 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.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Discovery Conductor
Optional orchestrator for the discovery-phase skill pack ·
foundationgroup · readsdiscovery-context.md+_log.mdto recommend the next skill.
The optional "guide me through this" skill. Most experienced users skip the conductor and invoke skills directly when needed. The conductor is for: first-time users, complex engagements with mixed access patterns, or BAs who want a checklist.
This is a guide, not a gate. You can stop, skip, or branch at any point. The pack works without the conductor.
When to activate
- BA says "walk me through discovery" / "what should I run?"
- After
profile-builderif the BA isn't sure what comes next - For a new engagement type the BA hasn't run before
Do not activate if the BA names specific skills directly — they know what they want.
Step 1 — Read context
Read discovery-context.md. If missing, ask the BA inline: "(a) engagement mode (pre-sale / paid discovery / delivery / staff aug / internal); (b) end-user access (direct / client-mediated / proxy-only / none)?" — enough to pick a sequence. Or recommend running profile-builder first for high-stakes work. Never block; default to a generic sequence if the BA insists.
Step 2 — Pick a recommended sequence
Use the selection matrix in ./sequences.md to map (engagement mode × access level) → sequence A–H. Read the chosen sequence's full step list from that file before presenting it to the BA.
Step 3 — Hand off control
Show the BA the chosen sequence. Then:
"Recommended sequence based on your context:
<list>. I'll suggest the next skill after each one completes. You can run them in this order, skip any, or invoke a different skill manually any time. Ready to start with<step 1>?"
Step 4 — After each phase, suggest next
Read _log.md (canonical line schema documented in profile-builder) to see which skills have run. Based on completed phases, suggest the next from the sequence:
What ships with it
1 file 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.
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.
- 12d ago First seen · 67 lines · 85 tokens per session scan A 582849798877
discovery-conductor is a skill published in the GitHub repository stanislavnianko/product-discovery-claude-skills (1 stars, last pushed 4mo ago), licensed MIT. It adds 85 tokens to every session and 805 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.
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