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 skills add VoxTechnologies/anty-framework --skill qualificationgit clone --depth 1 https://github.com/VoxTechnologies/anty-frameworkWrote 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/voxtechnologies/anty-framework/qualification)<a href="https://agentmods.dev/skills/voxtechnologies/anty-framework/qualification"><img src="https://agentmods.dev/badge/skills/voxtechnologies/anty-framework/qualification/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/voxtechnologies/anty-framework/qualification"><img src="https://agentmods.dev/badge/skills/voxtechnologies/anty-framework/qualification.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00071 | $0.01024 |
| Opus 5.5 | $0.00028 | $0.00410 |
| Sonnet 5.5 | $0.00014 | $0.00205 |
| Haiku 4.5 | $0.00007 | $0.00102 |
Grade A, and why
qualification 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 2mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- qualification — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lead Qualification
When to Apply
- Evaluating new leads for pipeline entry
- Marketing-sales handoff decisions
- When pipeline quality is poor (low conversion rates)
- When downstream bottleneck exists (too many unqualified leads)
- Configuring qualification criteria during onboarding
Core Framework
BANT 6-Criteria Gate
Every lead must pass all 6 criteria before entering the pipeline at Step 2:
| Criteria | Question | Pass Condition |
|---|---|---|
| Problem | Does the prospect have a problem our product solves? | Specific, articulated pain point matching our solution |
| Budget | Is budget allocated or likely? | Budget exists or can be created within purchase timeline |
| Authority | Is the decision-maker engaged or accessible? | Direct contact with buyer, or champion with access to buyer |
| Timeline | Is there a reasonable purchase timeframe? | Active evaluation, not "maybe someday" |
| Fit | Does our product capability match their need? | Core use case alignment, not edge-case stretching |
| Margin | Can we achieve acceptable margin on this deal? | Deal economics above minimum threshold |
Qualification Flow
Incoming lead
|
+-> Score against 6 criteria
|
+-> All 6 pass: QUALIFIED
| -> Enter pipeline Step 2
| -> Assign to appropriate sales Actions
|
+-> 1-2 fail: NURTURE
| -> Add to nurture sequence
| -> Re-evaluate in 30/60/90 days
| -> Do NOT add to pipeline
|
+-> 3+ fail: DISQUALIFY
-> Remove from active tracking
-> Log reason for future pattern analysis
Downstream Bottleneck Rule
When the pipeline bottleneck is downstream (e.g., demo capacity at 90% utilization):
Reduce upstream lead gen volume, don't increase it.
Bottleneck: Demo capacity (30/month, 90% utilized)
Qualified leads waiting: 15 in queue
WRONG: "Generate more leads to increase pipeline"
RIGHT: "Reduce lead gen to match demo throughput.
Generating more leads than demo can handle is waste."
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.
- 2mo ago First seen · 104 lines · 71 tokens per session scan A bf9004744347
qualification is a skill published in the GitHub repository VoxTechnologies/anty-framework (6 stars, last pushed 6mo ago), licensed MIT. It adds 71 tokens to every session and 1,024 once invoked, about $0.0003 per session on Opus 5.5. 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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