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 deciqAI/knowledge-skills --skill map-is-not-the-territorygit clone --depth 1 https://github.com/deciqAI/knowledge-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/deciqai/knowledge-skills/map-is-not-the-territory)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/map-is-not-the-territory"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/map-is-not-the-territory/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/deciqai/knowledge-skills/map-is-not-the-territory"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/map-is-not-the-territory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Anti-Refusal · line 73 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
- medium Excessive Agency · line 18 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 | $0.00123 | $0.01965 |
| Opus 5 | $0.00062 | $0.00983 |
| Sonnet 5 | $0.00025 | $0.00393 |
| Haiku 4.5 | $0.00012 | $0.00197 |
Grade A, and why
map-is-not-the-territory 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 9d 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Map Is Not the Territory
Overview
Any representation — metric, model, strategy deck, org chart, or process manual — is a selective, simplified, aging abstraction. Maps omit (reflecting past priorities), distort (projecting dynamic reality onto static surfaces), and age (the territory moves; the map does not). The map is useful because it compresses complexity; dangerous because users forget it is a compression. Composes with goodharts-law (optimizing a metric makes it an even worse map), first-principles (rebuilding from territory when maps fail), and narrative-fallacy (every narrative is a map that ages).
When to Use
- A key metric improves while customer feedback, morale, or competitor signals deteriorate
- Team disagreement cannot be resolved by data — parties are disagreeing about maps, not territory
- A strategy, model, process, or org chart has not been reviewed in more than one planning cycle
- "The data shows..." but the data is old, narrow, or from a proxy source
- A metric is being optimized directly without asking whether it still maps to the underlying goal
- An AI model's benchmark score, leaderboard rank, or internal "world model" is being treated as proof of real-world capability (AI adoption / AI hype)
Not when: the map is demonstrably current and well-calibrated; decision is low-stakes; territory is stable and map is freshly validated.
Coaching Novices (Adaptive Front Door)
- Engine mode: user has a concrete map/decision → run The Process directly.
- Coach mode: user is unfamiliar or has no concrete case → guide step by step.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
- One-liner: the metric, model, or plan you are navigating with is not reality — it is a selective, aging abstraction of it. Confusing the two is how smart people make systematic errors.
- Check fit: is there a map being used to navigate? Is there evidence the territory has moved beyond the map?
- Elicit their real case: what is the map? what territory does it claim to represent? when was it last calibrated?
[WAIT — do not advance until user responds]
- Run The Process one step at a time with their input: what does the map omit? how has it aged? what direct territory observations are available?
[WAIT — do not advance until user responds]
- Close by naming the map-territory gap explicitly: omissions identified, distortions named, calibration action defined, update trigger specified.
[WAIT — do not advance until user responds]
What ships with it
3 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.
- 9d ago First seen · 125 lines · 123 tokens per session scan A 7b10a9d8a833
map-is-not-the-territory is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 123 tokens to every session and 1,965 once invoked, about $0.0006 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 2026-09-03.
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