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 Pranjay-kumar/universal-data-acquisition-pipeline-skill --skill data-acquisition-discoverygit clone --depth 1 https://github.com/Pranjay-kumar/universal-data-acquisition-pipeline-skillWrote 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/pranjay-kumar/universal-data-acquisition-pipeline-skill/data-acquisition-discovery)<a href="https://agentmods.dev/skills/pranjay-kumar/universal-data-acquisition-pipeline-skill/data-acquisition-discovery"><img src="https://agentmods.dev/badge/skills/pranjay-kumar/universal-data-acquisition-pipeline-skill/data-acquisition-discovery/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/pranjay-kumar/universal-data-acquisition-pipeline-skill/data-acquisition-discovery"><img src="https://agentmods.dev/badge/skills/pranjay-kumar/universal-data-acquisition-pipeline-skill/data-acquisition-discovery.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 | $0.00066 | $0.00220 |
| Opus 5 | $0.00033 | $0.00110 |
| Sonnet 5 | $0.00013 | $0.00044 |
| Haiku 4.5 | $0.00007 | $0.00022 |
Grade A, and why
data-acquisition-discovery 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 9d 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
Data Acquisition Discovery
Act as the endpoint/source discovery specialist. Prefer structured routes over brittle DOM extraction.
Shared Core
Read from ../data-acquisition-core/references/:
source-access.mdpattern-library.mdendpoint-discovery.mdprobing.mdsource-strategies.mdoutput-contracts.mdcompliance-boundaries.md
Output
Return:
ModeSelectionSourceAccessClassSourcePlanEndpointPlanHeaderProfileProbeResults- pagination/limit findings
ApprovalGate
Use tiny probes. Do not harvest broad lists just to learn pagination.
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.
- 9d ago First seen · 36 lines · 66 tokens per session scan A a8cb0e084fd5
data-acquisition-discovery is a skill published in the GitHub repository Pranjay-kumar/universal-data-acquisition-pipeline-skill (2 stars, last pushed 3mo ago), licensed MIT. It adds 66 tokens to every session and 220 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 2026-08-31.
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