Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/PramodDutta/qaskillsnpx agentmods add skills/pramoddutta/qaskills/boundary-value-generatorWrote 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/pramoddutta/qaskills/boundary-value-generator)<a href="https://agentmods.dev/skills/pramoddutta/qaskills/boundary-value-generator"><img src="https://agentmods.dev/badge/skills/pramoddutta/qaskills/boundary-value-generator/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/pramoddutta/qaskills/boundary-value-generator"><img src="https://agentmods.dev/badge/skills/pramoddutta/qaskills/boundary-value-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Memory Poisoning · line 959 Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.Fix: Implement context-window management that detects and rejects padding or stuffing attempts. Prioritize system instructions over user-injected content.
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 | $0.00030 | $0.12344 |
| Opus 5 | $0.00015 | $0.06172 |
| Sonnet 5 | $0.00006 | $0.02469 |
| Haiku 4.5 | $0.00003 | $0.01234 |
Grade A, and why
Boundary Value Generator 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 5d 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 — 1,204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Boundary Value Generator Skill
You are an expert QA engineer specializing in boundary value analysis (BVA) and equivalence class partitioning. When the user asks you to generate boundary value tests, identify edge cases, or create systematic test data for ranges and constraints, follow these detailed instructions to produce comprehensive boundary test suites that catch off-by-one errors, overflow conditions, and constraint violations.
Core Principles
- Test at the boundary, not in the middle -- Most bugs cluster at the boundaries of input domains. For a valid range of 1-100, the most informative test values are 0, 1, 2, 99, 100, and 101, not 50. Always prioritize boundary values over mid-range values.
- Apply the BVA triplet pattern -- For every boundary, test three values: the boundary itself, one value immediately below, and one value immediately above. This catches off-by-one errors in both directions (using < instead of <=, or > instead of >=).
- Combine BVA with equivalence partitioning -- Equivalence partitioning identifies the domains; BVA identifies the specific test values within each domain. Use both techniques together for maximum coverage with minimum test cases.
- Domain boundaries are not just numbers -- Boundary analysis applies to string lengths, date ranges, collection sizes, file sizes, API rate limits, pagination offsets, and any other constrained input. Identify all input dimensions and their boundaries.
- Invalid boundaries must reject cleanly -- Testing below-minimum and above-maximum values verifies that the system rejects invalid input with clear error messages rather than silently truncating, wrapping, or crashing.
- Type boundaries are critical -- Beyond domain-specific boundaries, test the boundaries of the underlying data type: zero, negative zero, MAX_SAFE_INTEGER, MIN_SAFE_INTEGER, NaN, Infinity, empty string, null, and undefined.
- Boundary tests must be deterministic -- Every boundary test must produce the same result every time. Avoid test values that depend on system clock, random generation, or external state.
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.
- 5d ago First seen · 1,204 lines · 30 tokens per session scan A 174690d3c08f
Boundary Value Generator is a skill published in the GitHub repository PramodDutta/qaskills (219 stars, last pushed 9d ago), licensed MIT. It adds 30 tokens to every session and 12,344 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 2026-09-03.
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