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/briangmilnes/APAS-VERUSWrote 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/rules/briangmilnes/apas-verus/classify-spec-strengths)<a href="https://agentmods.dev/rules/briangmilnes/apas-verus/classify-spec-strengths"><img src="https://agentmods.dev/badge/rules/briangmilnes/apas-verus/classify-spec-strengths.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 | $0.00789 | $0.00789 |
| Opus 5 | $0.00394 | $0.00394 |
| Sonnet 5 | $0.00158 | $0.00158 |
| Haiku 4.5 | $0.00079 | $0.00079 |
Grade A, and why
classify-spec-strengths 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Classify Spec Strengths
Generate
When the user says "review specs for", "generate spec review for", or provides directories/files to analyze, first generate the markdown and JSON:
~/projects/veracity/target/release/veracity-review-module-fn-impls -d src/ChapNN
Or for specific files:
~/projects/veracity/target/release/veracity-review-module-fn-impls -f src/ChapNN/File.rs
Multiple directories can be combined in one run (-d src/Chap05 -d src/Chap18).
Output goes to analyses/veracity-review-module-fn-impls.md and .json.
Classify
When the user says "classify spec strengths", "review spec strengths", "classify specs", or similar:
Inputs
- JSON file:
analyses/veracity-review-module-fn-impls.json(or a path the user provides) - Prompt:
~/projects/veracity/docs/veracity-classify-spec-strengths-prompt.md
Procedure
- Read
~/projects/veracity/docs/veracity-classify-spec-strengths-prompt.mdto understand the classification criteria. - Read the JSON file the user specifies (default:
analyses/veracity-review-module-fn-impls.jsonin the current project). - For each entry, examine the
snippetfield and classifyspec_strengthas one of:- strong —
requiresandensuresfully capture the function's contract. - partial — some spec exists but is incomplete or underspecified.
- weak — spec exists but is trivially true or nearly useless.
- none — no
requires/ensuresat all (empty snippet or signature only).
- strong —
- Write the classifications to
analyses/review-module-fn-impl-spec-strengths.jsonin the same directory as the input JSON. Format:[ { "id": 1, "spec_strength": "strong" }, { "id": 2, "spec_strength": "none" } ] - Run the patch command:
veracity-review-module-fn-impls --patch \ analyses/veracity-review-module-fn-impls.md \ analyses/review-module-fn-impl-spec-strengths.json - Print a summary table:
Classification Count strong N partial N weak N none N
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.
- 4d ago First seen · 81 lines · 789 tokens per session scan A dff416977aff
classify-spec-strengths is a cursor rule published in the GitHub repository briangmilnes/APAS-VERUS (10 stars, last pushed 1mo ago), licensed MIT. It adds 789 tokens to every session, about $0.0039 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 2026-09-03.
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