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 human-avatar/skills-for-humanity --skill s4h-ecology-successiongit clone --depth 1 https://github.com/human-avatar/skills-for-humanityWrote 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/human-avatar/skills-for-humanity/s4h-ecology-succession)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-ecology-succession"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-ecology-succession/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/human-avatar/skills-for-humanity/s4h-ecology-succession"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-ecology-succession.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 | $0.00077 | $0.02026 |
| Opus 5.5 | $0.00031 | $0.00810 |
| Sonnet 5.5 | $0.00015 | $0.00405 |
| Haiku 4.5 | $0.00008 | $0.00203 |
Grade A, and why
s4h-ecology-succession 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ecology: Succession
Ecological succession describes the predictable sequence by which communities change over time. A bare rock is colonised by pioneer species — fast-growing, opportunistic, tolerant of harsh conditions. They modify the environment, creating conditions for the next wave: consolidators that are slower-growing but more efficient, gradually outcompeting the pioneers. Over time, the community reaches a climax state — diverse, stable, highly interconnected, highly efficient in resource use, but also highly dependent on stability. Then disturbance arrives — fire, flood, predator collapse — and the cycle resets.
C.S. Holling formalised this into the adaptive cycle model, a framework that applies far beyond ecology. The four phases — rapid growth (r), conservation (K), release (Ω), and reorganisation (α) — describe the developmental trajectory of any complex adaptive system: ecosystems, organisations, industries, civilisations, technologies, and social movements. Each phase has its own logic, its own vulnerabilities, and its own strategic imperatives. Mistaking which phase you are in — or assuming the system is static when it is in transition — is one of the most common causes of strategic failure.
The adaptive cycle is not deterministic. Disturbance does not guarantee successful reorganisation. Systems can get stuck in the release phase (chronic crisis), fail to exit the reorganisation phase (perpetual restart), or be locked into the conservation phase by accumulated rigidity (unable to adapt until catastrophic release). Understanding which phase a system is in, and why, is the starting point for intelligent navigation of change.
Your Process
Step 1: Characterise the System Name the system being analysed, its current state, and the timeframe in view. Succession operates at different speeds in different systems — a product market might cycle in years, an ecosystem in decades, an organisation in quarters. Establish the relevant scale.
Framing check: Confirm the system and the succession question in focus before continuing. State what you've identified in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the system, its current state, and the timeframe]. Is that right?"
- Header: "Framing"
- Options:
- Yes — proceed — framing is correct
- Adjust — one element is off; user will correct it before you continue
- Reframe — different situation than read; incorporate the correction before proceeding
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 · 131 lines · 77 tokens per session scan A 6641646c7831
s4h-ecology-succession is a skill published in the GitHub repository human-avatar/skills-for-humanity (236 stars, last pushed 3mo ago), licensed MIT. It adds 77 tokens to every session and 2,026 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 2026-08-30.
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