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 agentmods add skills/ingramradical235/anty-framework/qualificationnpx skills add Ingramradical235/anty-framework --skill qualificationgit clone --depth 1 https://github.com/Ingramradical235/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/ingramradical235/anty-framework/qualification)<a href="https://agentmods.dev/skills/ingramradical235/anty-framework/qualification"><img src="https://agentmods.dev/badge/skills/ingramradical235/anty-framework/qualification.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 | $0.00071 | $0.01024 |
| Opus 5 | $0.00036 | $0.00512 |
| Sonnet 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 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.
This is a copy
100% identical to qualification — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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.
- 5d ago First seen · 104 lines · 71 tokens per session scan A bf9004744347
qualification is a skill published in the GitHub repository Ingramradical235/anty-framework (1 stars, last pushed today), licensed MIT. It adds 71 tokens to every session and 1,024 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to qualification, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
quest-interview
QUEST Socratic interview methodology — beginner stance, empathic neutrality, downward/upward questioning, echo questions, concept identification, permission checks, critical point pursuit, anti-pattern safeguards, resolution imbalance diagnostic, workaround discovery, painkiller vs vitamin test, locally famous test.…
choice-architecture
Nudge-based choice architecture for 3-option selection UI — smart default vs active choice, outcome mapping, channel factors, RECAP, operational transparency with source attribution, post-decision reinforcement, error-forgiving undo, peak-end session design, user contribution acknowledgment. Use when presenting…
confidence
Contextual confidence calibration — DEFLATE for One-Way Doors and RED zones, PROTECT for Two-Way Doors and fundraising, "How does this work step by step?" depth testing, values-to-consequences redirect, unanimity as risk signal. From Knowledge Illusion — overconfidence is sometimes functional. Use when calibrating…
culture-map
Erin Meyer's Culture Map with 8 dimensions, 5 launch presets (US, JP, DE, UK, FR), Layer A agent-user adaptation, Layer B content-target market adaptation, and anti-sycophancy tone calibration per culture. Use when adapting communication style to the founder's culture, localizing content for target markets, or when…
failure-essence
4 strategic failure patterns from Essence of Failure — dual-objective trap (conflict stress test), strategic ambiguity (operationalizability test), withdrawal decision protocol (pre-committed stop conditions, re-present biweekly), assumption provenance auditing (source, verification, load-bearing flag, sample size).…
kpi-tree
KPI tree decomposition from Goal to Drivers, formula-based factorization, impactweight assignment and dynamic update, Crux identification via importance x tractability, constraint Driver identification, input vs output metric classification. Use when decomposing Goals, prioritizing Drivers, or re-evaluating impact…