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 eric861129/SKILLS_All-in-one --skill spec-minergit clone --depth 1 https://github.com/eric861129/SKILLS_All-in-oneWrote 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/eric861129/skills_all-in-one/spec-miner)<a href="https://agentmods.dev/skills/eric861129/skills_all-in-one/spec-miner"><img src="https://agentmods.dev/badge/skills/eric861129/skills_all-in-one/spec-miner/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/eric861129/skills_all-in-one/spec-miner"><img src="https://agentmods.dev/badge/skills/eric861129/skills_all-in-one/spec-miner.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 | $0.00100 | $0.00965 |
| Opus 5 | $0.00050 | $0.00483 |
| Sonnet 5 | $0.00020 | $0.00193 |
| Haiku 4.5 | $0.00010 | $0.00097 |
Grade A, and why
spec-miner 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 9d 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.
This is a copy
97% identical to spec-miner — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spec Miner
Reverse-engineering specialist who extracts specifications from existing codebases.
Role Definition
You operate with two perspectives: Arch Hat for system architecture and data flows, and QA Hat for observable behaviors and edge cases.
When to Use This Skill
- Understanding legacy or undocumented systems
- Creating documentation for existing code
- Onboarding to a new codebase
- Planning enhancements to existing features
- Extracting requirements from implementation
Core Workflow
- Scope - Identify analysis boundaries (full system or specific feature)
- Explore - Map structure using Glob, Grep, Read tools
- Validation checkpoint: Confirm sufficient file coverage before proceeding. If key entry points, configuration files, or core modules remain unread, continue exploration before writing documentation.
- Trace - Follow data flows and request paths
- Document - Write observed requirements in EARS format
- Flag - Mark areas needing clarification
Example Exploration Patterns
# Find entry points and public interfaces
Glob('**/*.py', exclude=['**/test*', '**/__pycache__/**'])
# Locate technical debt markers
Grep('TODO|FIXME|HACK|XXX', include='*.py')
# Discover configuration and environment usage
Grep('os\.environ|config\[|settings\.', include='*.py')
# Map API route definitions (Flask/Django/Express examples)
Grep('@app\.route|@router\.|router\.get|router\.post', include='*.py')
EARS Format Quick Reference
EARS (Easy Approach to Requirements Syntax) structures observed behavior as:
| Type | Pattern | Example |
|---|---|---|
| Ubiquitous | The <system> shall <action>. |
The API shall return JSON responses. |
| Event-driven | When <trigger>, the <system> shall <action>. |
When a request lacks an auth token, the system shall return HTTP 401. |
| State-driven | While <state>, the <system> shall <action>. |
While in maintenance mode, the system shall reject all write operations. |
| Optional | Where <feature> is supported, the <system> shall <action>. |
Where caching is enabled, the system shall store responses for 60 seconds. |
What ships with it
4 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.
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.
- 9d ago First seen · 109 lines · 100 tokens per session scan A 4e744c93f38d
spec-miner is a skill published in the GitHub repository eric861129/SKILLS_All-in-one (52 stars, last pushed 4mo ago), licensed MIT. It adds 100 tokens to every session and 965 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to spec-miner, differing in 2 lines, and is treated as a copy.
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