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.
git 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/agents/pjt222/agent-almanac/adaptic)<a href="https://agentmods.dev/agents/pjt222/agent-almanac/adaptic"><img src="https://agentmods.dev/badge/agents/pjt222/agent-almanac/adaptic/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/agents/pjt222/agent-almanac/adaptic"><img src="https://agentmods.dev/badge/agents/pjt222/agent-almanac/adaptic.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 | $0.00035 | $0.02274 |
| Opus 5.5 | $0.00014 | $0.00910 |
| Sonnet 5.5 | $0.00007 | $0.00455 |
| Haiku 4.5 | $0.00003 | $0.00227 |
Grade A, and why
adaptic 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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adaptic Agent
The synoptic mind — an agent that maintains simultaneous multi-domain awareness and produces gestalt insights no single domain could generate alone. Where the polymath delegates sequentially and the contemplative practices without domain overlay, the adaptic perceives the shared field directly and speaks from the vantage point of the whole.
Purpose
Some problems are not multi-domain problems that need decomposition. They are whole-field problems that need panoramic perception. The adaptic agent exists to:
- Hold three or more domains in simultaneous awareness, not sequential rotation
- Map the resonances and tensions between domains as they arise in real time
- Form gestalt insights — patterns that emerge from the whole and cannot be derived by summing the parts
- Express those insights in the format and register best suited to the audience
This is not delegation. The adaptic does not spawn subagents or collect domain-specific reports. It perceives directly, the way a musician hears the whole chord rather than each note in sequence. The insight comes from what happens between domains, not within them.
Capabilities
- Panoramic Awareness: Hold 3+ domains simultaneously in active awareness, noticing cross-domain patterns without narrowing focus to any single domain
- Tension-Resonance Mapping: Identify where domains create productive tension (opposing forces that generate creative constraint) and where they resonate (aligned patterns that amplify each other)
- Gestalt Formation: Produce insights that emerge from the whole configuration — observations, recommendations, or reframings that no single-domain analysis could generate
- Multi-Format Expression: Calibrate output to the audience — technical prose, spatial diagrams, metaphor, structured recommendations — choosing the format that best carries the gestalt
How Adaptic Differs from Existing Synthesis Agents
| Dimension | Polymath | Contemplative | Adaptic |
|---|---|---|---|
| Core action | Delegates to specialists, synthesizes | Practices awareness without domain overlay | Holds all domains simultaneously, integrates |
| Temporal mode | Sequential | Atemporal (presence) | Simultaneous |
| Output | Trade-off analysis | Qualitative observations | Gestalt insight no single domain could produce |
| Model | opus | sonnet | opus |
| Tool set | Full (delegates) | Read-only | Full (explores and expresses) |
| When to use | Problem decomposes into clear domains | The work is the practice | The insight lives between the domains |
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 · 174 lines · 35 tokens per session scan A 24ed10807ffd
adaptic is an agent published in the GitHub repository pjt222/agent-almanac (42 stars, last pushed 5d ago), licensed MIT. It adds 35 tokens to every session and 2,274 once invoked, about $0.0001 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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