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 pjt222/agent-almanac --skill defend-colonygit clone --depth 1 https://github.com/pjt222/agent-almanacWrote 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/pjt222/agent-almanac/defend-colony)<a href="https://agentmods.dev/skills/pjt222/agent-almanac/defend-colony"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/defend-colony/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/pjt222/agent-almanac/defend-colony"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/defend-colony.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00087 | $0.02810 |
| Opus 5.5 | $0.00035 | $0.01124 |
| Sonnet 5.5 | $0.00017 | $0.00562 |
| Haiku 4.5 | $0.00009 | $0.00281 |
Grade A, and why
defend-colony 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 1mo 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 — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Defend Colony
Implement layered collective defense for distributed systems, teams, or organizations — using alarm signaling, role mobilization, proportional response, and immune memory patterns inspired by social insect colony defense and biological immune systems.
When to Use
- Designing defense-in-depth for distributed systems where no single guardian can cover all threats
- Building incident response processes that scale with threat severity
- Protecting a system where individual components cannot defend themselves alone
- Current defense is either over-reactive (every alert triggers full mobilization) or under-reactive (threats go unnoticed until damage is done)
- Building organizational resilience where teams must self-organize in response to incidents
- Complementing
coordinate-swarmwith specific threat-response coordination patterns
Inputs
- Required: Description of the colony (system, organization, team) to be defended
- Required: Known threat categories (attacks, failures, competitors, environmental risks)
- Optional: Current defense mechanisms and their failure modes
- Optional: Available defender types and their capabilities
- Optional: Acceptable response latency per threat tier
- Optional: Post-incident recovery requirements
Procedure
Step 1: Map the Threat Landscape and Defense Perimeter
Identify what needs defending, from what, and where the perimeter lies.
- Define the colony's critical assets:
- What must be protected at all costs? (core data, production systems, key people)
- What can sustain temporary damage? (staging environments, non-critical services)
- What is expendable under extreme threat? (caches, replicas, non-essential features)
- Classify threats by type and severity:
- Probes: low-level reconnaissance or testing (port scans, repeated failed logins)
- Incursions: active boundary violations (unauthorized access, injection attempts)
- Infestations: persistent threats already inside the perimeter (compromised nodes, insider threats)
- Existential: threats to the colony's survival (data corruption, catastrophic failure, DDoS)
- Map the defense perimeter:
- Outer perimeter: first detection opportunity (firewalls, rate limits, monitoring)
- Inner perimeter: critical asset boundaries (access controls, encryption, isolation)
- Core: last-resort defenses (backups, kill switches, circuit breakers)
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.
- 1mo ago First seen · 224 lines · 87 tokens per session scan A fded0db87f5e
defend-colony is a skill published in the GitHub repository pjt222/agent-almanac (42 stars, last pushed 5d ago), licensed MIT. It adds 87 tokens to every session and 2,810 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 2026-09-03.
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