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/rfp-baitnpx skills add dancolta/subscope --skill rfp-baitgit 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 | $0.00079 | $0.00373 |
| Opus 5 | $0.00039 | $0.00187 |
| Sonnet 5 | $0.00016 | $0.00075 |
| Haiku 4.5 | $0.00008 | $0.00037 |
Grade A, and why
subscope-rfp-bait scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
/subscope-rfp-bait (🤝)
cd "$CLAUDE_PLUGIN_ROOT" && PYTHONPATH=engine python3 -m subscope.cli fetch-score --mode rfp-bait --candidates
The engine searches each configured sub for comparison-shaped threads ("vs", "versus", "between", "shortlist") across the recent window via keyless Reddit search, then hands you the candidates. Cooling queue 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). A thread naming two or more vendors in a comparative structure is the target. 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 = rfp-bait, 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.
- 3d ago First seen · 16 lines · 79 tokens per session scan A 2404e53306a5
subscope-rfp-bait is a skill published in the GitHub repository dancolta/subscope (25 stars, last pushed 22d ago), licensed MIT. It adds 79 tokens to every session and 373 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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