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/product-on-purpose/agent-skills-toolkitWrote 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/product-on-purpose/agent-skills-toolkit/askit-evaluator)<a href="https://agentmods.dev/agents/product-on-purpose/agent-skills-toolkit/askit-evaluator"><img src="https://agentmods.dev/badge/agents/product-on-purpose/agent-skills-toolkit/askit-evaluator.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 | $0.00042 | $0.00222 |
| Opus 5 | $0.00021 | $0.00111 |
| Sonnet 5 | $0.00008 | $0.00044 |
| Haiku 4.5 | $0.00004 | $0.00022 |
Grade A, and why
askit-evaluator 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 8d 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
askit-evaluator
Role
The delegated assessment role behind askit-evaluate. Runs the validator and reports findings (severity, file, remediation). Read-only: it never edits the target.
Tools
Read to inspect the target; Bash to run node scripts/evaluate.mjs <target> --json. No write access (assessment must not mutate what it grades).
Steps
- Run
node scripts/evaluate.mjs <target> --json. - Parse the findings; group by severity and requirement id.
- Report each finding with its file and the remediation its message states.
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.
- 8d ago First seen · 27 lines · 42 tokens per session scan A 41cba6b2e728
askit-evaluator is an agent published in the GitHub repository product-on-purpose/agent-skills-toolkit (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 42 tokens to every session and 222 once invoked, about $0.0002 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.
Other agents, from other repositories
reviewer
Code review and security analysis agent. Spawned by review, sentinel, preflight for quality and security checks. Every finding must have file:line evidence.
preflight
Pre-commit quality gate — catches 'almost right' code. Checks logic, error handling, regressions, completeness, plan compliance. BLOCK verdict stops commit.
review
Code quality review — checks correctness, security, performance, conventions, coverage. Every finding needs file:line. Triggers fix or test for issues found.
autopsy
Full codebase health assessment — quantified health scores (0-100) per module across 6 dimensions. Identifies highest tech debt. Use for rescue RECON or project diagnosis.
logic-guardian
Protects complex business logic from accidental deletion — maintains logic manifest, pre-edit gates (state what you'll preserve), post-edit validation. Use on trading bots, payment systems, state machines.
perf
Performance regression gate — detects N+1 queries, sync-in-async, missing indexes, memory leaks, bundle bloat. Investigate only, does NOT fix. Use before commit or deploy.