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 agentmods add skills/dancolta/subscope/churnnpx skills add dancolta/subscope --skill churngit clone --depth 1 https://github.com/dancolta/subscopeWhat 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 | $0.00075 | $0.00347 |
| Opus 5 | $0.00037 | $0.00173 |
| Sonnet 5 | $0.00015 | $0.00069 |
| Haiku 4.5 | $0.00007 | $0.00035 |
Grade A, and why
subscope-churn scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
/subscope-churn (⚡)
cd "$CLAUDE_PLUGIN_ROOT" && PYTHONPATH=engine python3 -m subscope.cli fetch-score --mode churn --candidates
The engine searches each configured sub for switching and cancellation language ("canceling Apollo", "switching from HubSpot") across the recent window via keyless Reddit search, then hands you the candidates. Cooling queue still applies.
Judge every entry in candidates[] against the user's offer with the offer-relevance judge in skills/run/SKILL.md Step 3.5 (load offer.yml, example-pains.yml, brand-anchor.yml, keywords.yml once). Surface only BUYER and AUTHORITY verdicts, ranked BUYER first, each with a one-line reason, rendering each surfaced thread as a clickable markdown link [title](url) from the candidate's url verbatim. Render the result as the two-table layout in run Step 4 (a BUYER SIGNALS table, then an AUTHORITY PLAYS table). Cap at this mode's pattern_caps. On zero judged surfaces, print the empty-state ladder from run's "After completion". Notion Pattern = churn, emoji prefix ⚡.
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.
- 2d ago First seen · 16 lines · 75 tokens per session scan A 828b208b23ba
subscope-churn is a skill published in the GitHub repository dancolta/subscope (25 stars, last pushed 21d ago), licensed MIT. It adds 75 tokens to every session and 347 once invoked, about $0.0004 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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