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/anoopsg/agent_rules/provide-mock-datanpx skills add anoopsg/agent_rules --skill provide-mock-datagit clone --depth 1 https://github.com/anoopsg/agent_rulesWrote 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/anoopsg/agent_rules/provide-mock-data)<a href="https://agentmods.dev/skills/anoopsg/agent_rules/provide-mock-data"><img src="https://agentmods.dev/badge/skills/anoopsg/agent_rules/provide-mock-data.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 | $0.00016 | $0.00223 |
| Opus 5 | $0.00008 | $0.00112 |
| Sonnet 5 | $0.00003 | $0.00045 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
provide-mock-data 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
Provide Mock Data
When you need to create mock data for development or prototyping, follow these guidelines:
- Location: Place mock data files inside the
lib/src/infrastructure/_mock/directory. - Naming: Name the file using the domain name suffixed with
_mock.dart(e.g.,notifications_mock.dart). - Structure:
- Provide a pure function or constants to generate the mock data.
- Do NOT use singletons or hold state within the mock data file itself. State should be managed by Riverpod providers/notifiers.
- Integration: Create a repository class (e.g.,
NotificationsRepository) that uses the mock data generator to simulate API responses, including adding artificial delays usingFuture.delayedto simulate network latency. - Separation of Concerns: The notifier should handle all local state updates, while the repository strictly handles the "network" (mock) operations.
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 · 17 lines · 16 tokens per session scan A 587ca6b70dee
provide-mock-data is a skill published in the GitHub repository anoopsg/agent_rules (2 stars, last pushed 1mo ago), licensed MIT. It adds 16 tokens to every session and 223 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 2026-08-31.
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