Borrowing it
Nothing to install: this file belongs to walm00/business-context-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/walm00/business-context-os/main/.claude/skills/context-mine/SKILL.mdgit clone --depth 1 https://github.com/walm00/business-context-osWrote 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/walm00/business-context-os/context-mine)<a href="https://agentmods.dev/skills/walm00/business-context-os/context-mine"><img src="https://agentmods.dev/badge/skills/walm00/business-context-os/context-mine/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/walm00/business-context-os/context-mine"><img src="https://agentmods.dev/badge/skills/walm00/business-context-os/context-mine.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 | $0.00027 | $0.01234 |
| Opus 5 | $0.00014 | $0.00617 |
| Sonnet 5 | $0.00005 | $0.00247 |
| Haiku 4.5 | $0.00003 | $0.00123 |
Grade A, and why
context-mine 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.
How it starts
The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Mine
See also:
context-ingestis the single public entry point for new material. If the user dropped a conversation export of unknown shape, prefercontext-ingest— it dispatches here automatically when it detects a Slack/transcript/chat-log shape. Usecontext-minedirectly only when the user explicitly names mining ("mine this transcript", "extract decisions from this Slack export"). Mine extracts → ingest classifies and routes.
Purpose
This skill IS:
- An extraction tool that reads conversation exports and pulls out actionable context
- A bridge between unstructured conversations and the CLEAR context architecture
- A preprocessor that dumps structured summaries to
docs/_inbox/for review
This skill IS NOT:
- A replacement for context-ingest (mine extracts, ingest classifies and routes)
- An automatic integration tool (everything goes to _inbox for human review)
- A real-time conversation monitor (works on exports/transcripts after the fact)
When to Use
- "Extract context from this Slack export"
- "Mine this meeting transcript for decisions"
- "Process this chat log into actionable items"
- "I have a conversation dump, what did we decide?"
Supported Input Formats
| Format | Source | How to Provide |
|---|---|---|
| Plain text | Any conversation copy-paste | Paste directly into chat |
| Slack JSON export | Slack workspace export | Provide file path |
| Meeting transcript | Otter.ai, Fireflies, manual notes | Paste or provide file path |
| Chat history | Any Q&A format | Paste or provide file path |
Extraction Categories
For each conversation, extract into these categories:
Decisions Made
Things that were decided, with enough context to understand why.
- Decision: [what was decided]
Rationale: [why, if stated]
Affects: [what data points this might update]
Discoveries
New information learned that wasn't known before.
- Discovery: [what was learned]
Source: [who said it / where it came from]
Relevance: [which data point or cluster this relates to]
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 · 181 lines · 27 tokens per session scan A ee9003aff257
context-mine is a skill published in the GitHub repository walm00/business-context-os (21 stars, last pushed 3mo ago), licensed MIT. It adds 27 tokens to every session and 1,234 once invoked, about $0.0001 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 2026-08-30.
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