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.
git clone --depth 1 https://github.com/tomcounsell/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/agents/tomcounsell/ai/baseline-verifier)<a href="https://agentmods.dev/agents/tomcounsell/ai/baseline-verifier"><img src="https://agentmods.dev/badge/agents/tomcounsell/ai/baseline-verifier.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 5.1 | $0.00032 | $0.02192 |
| Opus 5 | $0.00016 | $0.01096 |
| Sonnet 5 | $0.00006 | $0.00438 |
| Haiku 4.5 | $0.00003 | $0.00219 |
Grade D, and why
baseline-verifier scanned grade D with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Unrestricted tool accessmediumExcessive agency
A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.
tools: ['*'] Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf "$BASELINE_DIR" 2>/dev/null || true The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 6d ago First seen · 241 lines · 32 tokens per session scan D 2fd442ff3300
baseline-verifier is an agent published in the GitHub repository tomcounsell/ai (24 stars, last pushed yesterday), licensed GPL-3.0. It adds 32 tokens to every session and 2,192 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it D with 2 findings (unrestricted tool access, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
senior-developer
Use this agent when the user needs programming tasks executed, including feature implementation, refactoring, bug fixing, code reviews, or any code-related work. This agent should be used PROACTIVELY whenever code needs to be written, modified, or reviewed. It strictly follows Test-Driven Development…
sequant-testgen
Test stub generator for sequant /testgen phase. Parses verification criteria from /spec comments and generates Jest/Vitest test stubs with Given/When/Then structure. Use when spawned by the /testgen skill.
sequant-qa-checker
Quality check agent for sequant /qa phase. Runs type safety, scope/size, security, and documentation checks on diffs. Use when spawned by the /qa skill to perform parallel or sequential quality checks.
task-validator
Validates task files against task template and task-creator rules. Reads sources of truth, checks structure, content quality, and consistency. Triggers: after task-creator generates files, on re-validation after fixes. Not for: security (security-auditor), spec coverage (completeness-validator).
tech-spec-validator
Validates tech-spec template compliance and implementation task quality: sections present, frontmatter correct, standards compliance, verification plan, task skill correctness, task brevity, decisions placement. Security, adequacy, testing strategy, and code mirage detection handled by dedicated validators. Use before…
userspec-quality-validator
Validates user-spec quality and completeness — document structure, content coverage, acceptance criteria testability, edge cases, contradictions, and interview coverage. Scope: document quality only. Solution adequacy (feasibility, overengineering, alternatives, stack compatibility) is handled by…