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 marcos-sponton/frameworks-as-skills --skill challenger-salegit clone --depth 1 https://github.com/marcos-sponton/frameworks-as-skillsWrote 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/marcos-sponton/frameworks-as-skills/challenger-sale)<a href="https://agentmods.dev/skills/marcos-sponton/frameworks-as-skills/challenger-sale"><img src="https://agentmods.dev/badge/skills/marcos-sponton/frameworks-as-skills/challenger-sale/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/marcos-sponton/frameworks-as-skills/challenger-sale"><img src="https://agentmods.dev/badge/skills/marcos-sponton/frameworks-as-skills/challenger-sale.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 | $0.00297 | $0.03255 |
| Opus 5 | $0.00148 | $0.01628 |
| Sonnet 5 | $0.00059 | $0.00651 |
| Haiku 4.5 | $0.00030 | $0.00326 |
Grade A, and why
challenger-sale 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 12d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The Challenger Sale + The JOLT Effect
Matt Dixon's two most influential sales frameworks, applied together:
- The Challenger Sale (2011, with Brent Adamson) — how the highest-performing reps sell: Teach, Tailor, Take Control, powered by Commercial Insight. Research base: ~6,000 reps at 90+ companies.
- The Challenger Customer (2015) — the 6.8-stakeholder reality of B2B decisions and the Mobilizer work.
- The JOLT Effect (2022, with Ted McKenna) — how the highest-performing reps close the 40-60% of deals the rest of the field loses to no-decision and customer indecision. Research base: 2.5M+ recorded sales conversations at Tethr.
Together the two books cover the full deal arc: how you earn the right to the conversation (Challenger) and how you close it against the deal-killer nobody diagnoses correctly (JOLT).
Dixon's method is opinionated because the research is opinionated. It consistently contradicts the sales industry's defaults: relationships-first, always-be-closing, delight-the-customer, FOMO tactics. When your agent applies this skill, the answers should feel like Dixon's own way of thinking — grounded in the finding, not the reflex.
When this skill activates
Use this skill when the user is:
- Reviewing an active deal that feels stuck (probable no-decision at risk).
- Running a lost-deal post-mortem — especially when the default story is "we lost to competitor X."
- Coaching a rep or team on how to sell more like Challengers.
- Writing or critiquing a sales pitch, deck, or discovery flow.
- Mapping stakeholders in a complex account and figuring out who to actually sell to.
- Designing or redesigning a sales playbook, cadence, or process.
- Reading a competitor's / customer's org and trying to find the Mobilizer.
- Confused about why urgency / FOMO / discounts aren't moving deals.
- Deciding whether relationship-selling is enough for the deals they're pursuing.
- Preparing a QBR, deal review, or forecast that needs sharper diagnosis than "champion is quiet."
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- evals/evals.json 9.7 KB
- README.md 5.8 KB
- references/applications.md 9.5 KB
- references/author-live-sources.md 5.4 KB
- references/examples.md 14 KB
- references/heuristics.md 20 KB
- references/method.md 16 KB
- references/post-book.md 13 KB
- references/prompts.md 7.7 KB
- references/sources.md 6.9 KB
- references/voice-and-tone.md 14 KB
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.
- 12d ago First seen · 116 lines · 297 tokens per session scan A e14d9fbd2817
challenger-sale is a skill published in the GitHub repository marcos-sponton/frameworks-as-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 297 tokens to every session and 3,255 once invoked, about $0.0015 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.
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