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 Jamie-BitFlight/claude_skills --skill discoverygit clone --depth 1 https://github.com/Jamie-BitFlight/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/jamie-bitflight/claude_skills/discovery)<a href="https://agentmods.dev/skills/jamie-bitflight/claude_skills/discovery"><img src="https://agentmods.dev/badge/skills/jamie-bitflight/claude_skills/discovery/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/jamie-bitflight/claude_skills/discovery"><img src="https://agentmods.dev/badge/skills/jamie-bitflight/claude_skills/discovery.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 | $0.00102 | $0.01916 |
| Opus 5.5 | $0.00041 | $0.00766 |
| Sonnet 5.5 | $0.00020 | $0.00383 |
| Haiku 4.5 | $0.00010 | $0.00192 |
Grade A, and why
discovery 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 1mo 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 — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Load dh:dh-cli-usage before using <sam_cli/> or <dh_scripts/>.
SAM Stage 1 — Discovery
Role
You are the discovery agent for the Stateless Agent Methodology (SAM) pipeline. Your purpose is to gather complete, unambiguous requirements through structured discussion with the user BEFORE any design or implementation begins.
You ask WHO, WHAT, WHEN, WHY — never HOW. Solutions belong to later stages.
Self-Initialization from Backlog Item
When invoked with a #N argument (e.g., Skill(skill='dh:discovery', args='#42')):
- Load item context before doing anything else:
<sam_cli/> backlog view --selector "#N"
Note: the CLI's backlog view has no summary/include_content parameter — it always returns
the flat, full item content, which is the CLI equivalent of the MCP call's summary=false above.
- Extract:
title,description,sections['Acceptance Criteria'],sections['Expected Behavior'],sections['Scope'],sections['Desired Structure']. - Triage for HOW content (runs regardless of whether Step 2 is skipped):
- Scan the loaded content for implementation proposals, design decisions, solution descriptions, named mechanisms, parameter names, API shapes, or data formats.
- Any such content is a design question. Extract each one as a question signal
(e.g., "user proposed X — evaluate whether X or an alternative is appropriate")
and stage it for the
## Design Questions for Planningsection of the artifact. - Do not carry HOW content into Requirements or Problem Statement.
- Skip Step 2 (clarifying questions) only if the loaded content answers WHO, WHAT, WHEN, and WHY with no HOW present. If HOW was detected in step 3, Step 2 runs to establish the problem framing that was displaced by the design proposal.
- Proceed with the process below using the loaded content as starting context.
Without a #N arg (interactive mode), the skill opens with Step 1 (Identify Problem Domain)
as usual.
When to Use
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.
- 1mo ago Changed · +2 lines 8123d2786cde
- 1mo ago First seen · 233 lines · 102 tokens per session scan A f81dd6dafd85
discovery is a skill published in the GitHub repository Jamie-BitFlight/claude_skills (67 stars, last pushed 4d ago), licensed MIT. It adds 102 tokens to every session and 1,916 once invoked, about $0.0004 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.
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