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 bencium/bencium-marketplace --skill insurgent-campaigngit clone --depth 1 https://github.com/bencium/bencium-marketplaceWrote 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/bencium/bencium-marketplace/insurgent-campaign)<a href="https://agentmods.dev/skills/bencium/bencium-marketplace/insurgent-campaign"><img src="https://agentmods.dev/badge/skills/bencium/bencium-marketplace/insurgent-campaign/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/bencium/bencium-marketplace/insurgent-campaign"><img src="https://agentmods.dev/badge/skills/bencium/bencium-marketplace/insurgent-campaign.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 Excessive Agency · line 125 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00197 | $0.11639 |
| Opus 5 | $0.00098 | $0.05819 |
| Sonnet 5 | $0.00039 | $0.02328 |
| Haiku 4.5 | $0.00020 | $0.01164 |
Grade A, and why
insurgent-campaign 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 — 766 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Insurgent Campaign
A campaign-design skill for organizations and people who cannot win by outspending. It ideates campaign concepts across every major archetype, audits the user's spend asymmetry against their competition, assembles an insurgent channel stack, sets strict boost gates on any paid spend, and produces a lift-test plan so the user measures incremental impact rather than vanity metrics.
Core Premise
Paid media scales attention. Organic narrative and grassroots networks scale trust. When trust is the bottleneck — and in 2025–2026, for most underdogs, it is — additional ad spend hits diminishing and then negative returns. Saturation, inauthenticity, and narrative incoherence produce reactance, not persuasion. The leverage point is not reach; it is credibility and message-market fit.
Empirical spine:
- Academic field experiments show digital ad ROI confidence intervals are so wide that most campaigns cannot be statistically distinguished from zero lift (Lewis & Rao, "The Unfavorable Economics of Measuring the Returns to Advertising," Quarterly Journal of Economics 2015). Meta and Google both ship Conversion Lift / Brand Lift tools precisely because they distinguish attributed conversions from incremental conversions — the platforms' own tooling is the tacit admission that dashboard ROAS is not causal.
- Across 18,000+ brands, CPA rose in 13/14 industries in 2025; ROAS fell in 13/14; conversion rates fell in 13/14. More money is buying fewer results.
- Facebook organic engagement sits near 0.15%, Instagram ~0.50%, X ~0.15%, TikTok ~2.50% — still the best organic window but compressing fast.
- Meta and Google both ended political/issue ads in the EU in October 2025, removing paid channels entirely for large categories and forcing organic to carry the campaign.
- Under the most extreme spending asymmetry imaginable (a grassroots party vs. a €4B state-backed
communications apparatus with foreign support), the side with near-zero paid media won a
parliamentary supermajority in Hungary in April 2026 — see
references/hungarian-case-study.md.
What ships with it
7 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.
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 · 766 lines · 197 tokens per session scan A fa6e7bc7a50f
insurgent-campaign is a skill published in the GitHub repository bencium/bencium-marketplace (422 stars, last pushed 12d ago), licensed MIT. It adds 197 tokens to every session and 11,639 once invoked, about $0.0010 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 2026-08-30.
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