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 bonnguyenitc/specship --skill ss-explore-sourcegit clone --depth 1 https://github.com/bonnguyenitc/specshipWrote 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/bonnguyenitc/specship/ss-explore-source)<a href="https://agentmods.dev/skills/bonnguyenitc/specship/ss-explore-source"><img src="https://agentmods.dev/badge/skills/bonnguyenitc/specship/ss-explore-source/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/bonnguyenitc/specship/ss-explore-source"><img src="https://agentmods.dev/badge/skills/bonnguyenitc/specship/ss-explore-source.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 | $0.00084 | $0.02970 |
| Opus 5.5 | $0.00034 | $0.01188 |
| Sonnet 5.5 | $0.00017 | $0.00594 |
| Haiku 4.5 | $0.00008 | $0.00297 |
Grade A, and why
ss-explore-source 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 — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Explore Source
Goal: turn an unfamiliar repo into a clear mental model fast. Read before you change.
When to use
- A new dev is onboarding and needs the lay of the land.
- You're asked "how does this work?", "where is X?", "explain the architecture".
- You're about to modify code in an area you haven't read yet.
Delegate heavy exploration to a subagent
For anything beyond a tiny repo, don't read the whole codebase in the main thread — it floods the context. Spawn the ss-explorer agent if your platform can — it ships with specship for Claude Code (.claude/agents/), prefers the codebase-memory MCP when the project has it, and falls back to plain search — else the built-in Explore agent (or general-purpose for multi-step research), to do the wide fan-out reads and return only conclusions, keeping this thread clean.
- When: a large/unfamiliar repo, or a broad question ("where is X handled across the codebase?", "what are all the entry points?").
- How: run the steps below as a brief for the agent. Give it a focused goal and ask for a structured result, not file dumps — e.g. "List every top-level dir with its role and the key entry file (path + entry symbol)" or "Find where auth is enforced; return the call chain."
- Parallelize independent sweeps (structure, entry points, conventions) as separate agent runs when it speeds things up.
- Then synthesize the agents' findings into the onboarding docs yourself. You own the writing and the verification — spot-check anything an agent claims before citing it.
- For a small repo, just do it inline; spawning an agent isn't worth the cold-start cost. Likewise if your platform can't spawn subagents at all: do the full exploration inline in the main thread (
../WORKFLOW.md→ In-stage subagents — delegation is an optimization, never a precondition).
Method
Work top-down: stack → structure → entry points → data flow → conventions. Don't read every file; read enough to build an accurate map, then verify the gaps.
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.
- 1mo ago First seen · 251 lines · 84 tokens per session scan A dadbeb6539db
ss-explore-source is a skill published in the GitHub repository bonnguyenitc/specship (2 stars, last pushed 2mo ago), licensed MIT. It adds 84 tokens to every session and 2,970 once invoked, about $0.0003 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 2026-08-31.
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