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/ldayton/dippy/verify-countsnpx skills add ldayton/Dippy --skill verify-countsgit clone --depth 1 https://github.com/ldayton/DippyWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ldayton/dippy/verify-counts)<a href="https://agentmods.dev/skills/ldayton/dippy/verify-counts"><img src="https://agentmods.dev/badge/skills/ldayton/dippy/verify-counts.svg" alt="Measured on agentmods" height="20"></a>What 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 | $0.00012 | $0.00374 |
| Opus 5 | $0.00006 | $0.00187 |
| Sonnet 5 | $0.00002 | $0.00075 |
| Haiku 4.5 | $0.00001 | $0.00037 |
Grade A, and why
verify-counts 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 4d 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
Verify all count assertions in documentation against actual values.
Claims to Verify
| Location | Claim | Verification |
|---|---|---|
README.md:14 |
14,000+ tests | Dippy + Parable combined |
../Dippy.wiki/Reference/Security-Model.md:79 |
Over 200 read-only commands | SIMPLE_SAFE count |
../Dippy.wiki/Reference/Security-Model.md:94 |
Over 80 tools | CLI handler count |
../Dippy.wiki/Reference/Handler-Model.md:210 |
80+ handlers | CLI handler count |
Verification Commands
Dippy tests:
uv run pytest --collect-only -q 2>/dev/null | tail -1
Parable tests: Check table in /Users/lily/source/Parable/tests/README.md
SIMPLE_SAFE count:
uv run python -c "from src.dippy.core.allowlists import SIMPLE_SAFE; print(len(SIMPLE_SAFE))"
CLI handlers:
ls -1 src/dippy/cli/*.py | grep -v __init__ | wc -l
Output
Report each claim with:
- Documented value
- Actual value
- Status (PASS/FAIL/STALE)
Status Criteria
- PASS: Actual value is within ~10% of documented value
- STALE: Claim is technically true but significantly outdated (e.g., "50+" when actual is 77)
- FAIL: Claim is false
If any claim is STALE or FAIL, note which file(s) need updating.
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.
- 4d ago First seen · 50 lines · 12 tokens per session scan A 73299ee21a7c
verify-counts is a skill published in the GitHub repository ldayton/Dippy (243 stars, last pushed 2mo ago), licensed MIT. It adds 12 tokens to every session and 374 once invoked, about $0.0001 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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