Signal Mine

What it does

Example prompts

• “turn this industry news into ideas”
• “/signal-mine”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

1. 1Split the dump into discrete signals (a claim, an event, a sentiment, a
2. 2For each signal, ask the standing question: *does this brand have something
3. 3For signals that pass: name the angle (the brand's specific take, not a
4. 4For signals that fail: list them as dropped, with the reason. This list is

What it can do on your machine

Read from SKILL.md and the folder at commit 9e949f3. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md.

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Signal Mine loads about 859 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 381 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~29

When it runs · the whole SKILL.md, loaded when a task matches

~859

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from indranilbanerjee/digital-marketing-pro at commit 9e949f3, republished under its MIT licence (© indranilbanerjee). 381 words, ~859 tokens.

name

signal-mine

description

Mine raw signals (news, threads, sales notes) into content angles. "turn this industry news into ideas"

argument-hint

[brand-name] [--signals <pasted material>]

user-invocable

true

# Signal mine — {brand}, {date}

## Angles ({n})
### A1. [The angle — the take, not the topic]
**From signal:** [one-line source reference]
**Pillar:** [brand pillar]  **Timeliness:** [act this week / evergreen / expires ~date]
**Format:** [post / article / newsletter section / campaign hook]
**Why this brand:** [one sentence of standing — why this take is credibly ours]

## Dropped ({n})
- [signal] — [why: off-pillar / no standing / competitor's story to tell /
  stale by the time we publish / compliance risk]

## Sourcing note
[Which signals carry claims that need verification before anything cites them —
route those through /digital-marketing-pro:verify-claims before drafting]

© indranilbanerjee, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/signal-mine of indranilbanerjee/digital-marketing-pro.

Open the folder on GitHubat commit 9e949f3

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in indranilbanerjee/digital-marketing-pro, which our catalogue first saw on October 7, 2026.

• hashgraph-online/awesome-codex-pluginsplugins/indranilbanerjee/digital-marketing-pro/skills/signal-mine