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 skills add adampoit/ai --skill ddgrgit clone --depth 1 https://github.com/adampoit/aiWrote 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/adampoit/ai/ddgr)<a href="https://agentmods.dev/skills/adampoit/ai/ddgr"><img src="https://agentmods.dev/badge/skills/adampoit/ai/ddgr/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/adampoit/ai/ddgr"><img src="https://agentmods.dev/badge/skills/adampoit/ai/ddgr.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00037 | $0.00281 |
| Opus 5.5 | $0.00015 | $0.00112 |
| Sonnet 5.5 | $0.00007 | $0.00056 |
| Haiku 4.5 | $0.00004 | $0.00028 |
Grade A, and why
ddgr 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 1mo 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
Ddgr
Search the web from the terminal with ddgr.
ddgr --noprompt --noua --json --num 10 "query terms"
Search Web
Preferred command (machine-readable JSON):
ddgr --noprompt --noua --json --num 10 "query terms"
Search with region targeting:
ddgr --noprompt --noua --json --num 10 -r us-en "query terms"
Common options:
--json: Return JSON results for deterministic parsing--num <N>: Maximum number of results-r <region>: Region code such asus-enorgb-en--noprompt: Non-interactive mode--noua: Disable random user-agent behavior
Fallback
If --json is not supported by the installed ddgr version, use plain output:
ddgr --noprompt --noua --num 10 "query terms"
Summarize results with title, URL, and snippet for each entry.
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.
- 1mo ago First seen · 45 lines · 37 tokens per session scan A f0c0bdd78ef9
ddgr is a skill published in the GitHub repository adampoit/ai (2 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 281 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
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