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/resurrectnpx skills add dancolta/subscope --skill resurrectgit 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 | $0.00062 | $0.00464 |
| Opus 5 | $0.00031 | $0.00232 |
| Sonnet 5 | $0.00012 | $0.00093 |
| Haiku 4.5 | $0.00006 | $0.00046 |
Grade A, and why
subscope-resurrect scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
/subscope-resurrect (🪦)
cd "$CLAUDE_PLUGIN_ROOT" && PYTHONPATH=engine python3 -m subscope.cli fetch-score --mode resurrect --candidates
Behavior diverges from other modes. Instead of /r/<sub>/new, this mode searches each configured sub via Reddit's keyless search feed (sort=top, t=year, widened to t=all for the 12-18 month tail) and keeps only threads aged 6 to 18 months, using a client-side age band. It does NOT read /new and does NOT fall back to /new: a 3-to-4-day /new window cannot contain a 6-18 month thread, so a reachable sub with no in-window thread simply contributes nothing this run. Scoring uses config/weights-resurrect.yml so freshness decay does not zero out an old thread.
Cooling queue applies (these are evergreen, not time-sensitive).
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). A high-quality older thread that still ranks and pulls Google traffic, where a late helpful reply compounds via SEO, is the target. Surface only BUYER and AUTHORITY verdicts, each with a one-line reason, rendering the result as the two-table layout in run Step 4 (a BUYER SIGNALS table, then an AUTHORITY PLAYS table, with hyperlinked subreddit and thread). Cap at this mode's pattern_caps (default 3). On zero judged surfaces, say so plainly and point to widening the sub list. Notion Pattern = resurrect, 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 · 18 lines · 62 tokens per session scan A cd8964bcd9fc
subscope-resurrect is a skill published in the GitHub repository dancolta/subscope (25 stars, last pushed 21d ago), licensed MIT. It adds 62 tokens to every session and 464 once invoked, about $0.0003 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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