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/profilenpx skills add dancolta/subscope --skill profilegit 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 | $0.00165 | $0.02866 |
| Opus 5 | $0.00082 | $0.01433 |
| Sonnet 5 | $0.00033 | $0.00573 |
| Haiku 4.5 | $0.00016 | $0.00287 |
Grade A, and why
subscope-profile scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/subscope-profile
Per-section deep dive. Not a full re-interview, just the section that's drifted.
You ran /subscope-onboard once and the four config files at ~/.config/subscope/ are in place. After a few scans you notice: one subreddit floods the results with noise, the competitor anchor is missing a name, the pain language doesn't match how your buyers actually talk. That's the job for this skill. Pick the section, answer 1-3 focused questions, and only that section is rewritten.
If you've never run onboarding before, run /subscope-onboard first. This skill assumes an existing config.
Procedure
Step 1: Verify an onboarded config exists
cd "$CLAUDE_PLUGIN_ROOT" && PYTHONPATH=engine python3 -c "
from pathlib import Path
from subscope.lib import store
cfg = store.xdg_config_dir()
required = ['subreddits.yml', 'keywords.yml', 'brand-anchor.yml', 'example-pains.yml']
missing = [f for f in required if not (cfg / f).exists()]
if missing:
print('MISSING:', missing)
print('Run /subscope-onboard first.')
else:
print('OK')
"
If any required file is missing, stop and direct the user to /subscope-onboard.
Step 2: Pick a section
Print verbatim:
Which section needs a refresh?
[1] Competitor anchor brand-anchor.yml
[2] Pain language example-pains.yml
[3] Subreddit tiers subreddits.yml
[4] Keywords keywords.yml
[5] Buyer titles subreddits.yml (operator/builder mapping)
[6] Customers regenerate inferred customer list
[7] Content map blog-map.yml (your own URLs)
[8] Positioning regenerate the one-line positioning, may cascade
Type a number.
If user types a number not in 1-8, re-prompt once. Multiple sections in one run are allowed, ask for a comma-separated list. Each section then runs in sequence, sharing the same review-and-write pattern.
Step 3: Run the chosen section flow
Each section follows the same shape: show the current value, ask 1-3 focused questions, propose the new value, write on confirm.
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 · 295 lines · 165 tokens per session scan A 381625e784b2
subscope-profile is a skill published in the GitHub repository dancolta/subscope (25 stars, last pushed 21d ago), licensed MIT. It adds 165 tokens to every session and 2,866 once invoked, about $0.0008 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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