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 blackmo18/realm --skill realm-concisegit clone --depth 1 https://github.com/blackmo18/realmWrote 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/blackmo18/realm/realm-concise)<a href="https://agentmods.dev/skills/blackmo18/realm/realm-concise"><img src="https://agentmods.dev/badge/skills/blackmo18/realm/realm-concise/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/blackmo18/realm/realm-concise"><img src="https://agentmods.dev/badge/skills/blackmo18/realm/realm-concise.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 | $0.00108 | $0.01141 |
| Opus 5.5 | $0.00043 | $0.00456 |
| Sonnet 5.5 | $0.00022 | $0.00228 |
| Haiku 4.5 | $0.00011 | $0.00114 |
Grade A, and why
realm-concise 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
realm-concise
Persistent god-file triage. Crawler finds candidates, script remembers the queue, LLM only reasons about the one file being actively reviewed.
Host invocation: Claude Code and Gemini use /realm-concise; Codex uses $realm-concise.
Resolve realmConciseSkillDir to the directory containing this SKILL.md; use
<realmConciseSkillDir>/scripts/concise.py for every script call.
When to Use
| Trigger | Example |
|---|---|
| Periodic tech-debt check | /realm-concise, "what's a good file to refactor next" |
| Query the standing queue | /realm-concise next |
| Decide if a specific file is worth splitting | /realm-concise recommend <file> |
| Ready to act on an approved candidate | /realm-concise plan <file> |
| Just landed a refactor | /realm-concise done <file> |
| Deliberately leave a file alone | /realm-concise ignore <file> --reason "..." |
When NOT to Use
- Want an ADR for a decision unrelated to file size →
/realm-planningdirectly. - Want live code relationships, not a refactor queue →
graphify query/explain. - Want past why on a completed refactor →
/realm-recall "why split <file>". - No
.realm/realm-state.jsonin the project at all → this skill still works (state is independent of the realm ADR pipeline), but/realm-concise planneeds realm-planning's vault, so run/realm-forgefirst if the vault was never bootstrapped.
Ground rules (apply across every subskill)
- Script does the counting. Every LOC count, fan-in resolution, churn lookup, and state mutation goes through
scripts/concise.py. LOC means physical source lines containing code; blank lines, comments, and documentation comments (including JSDoc) are excluded. Never hand-count lines or hand-edit.realm/concise-state.json. - Two active projects, always pass
--root. Default targets areknowledge-craftandbackoffice-main(per workspaceCLAUDE.md). A subcommand naming a file infers the project from the path prefix. - Gate keeping is not optional.
approve,plan, anddoneall require the user to explicitly name the file and the action in the same turn — enforced in detail bylifecycle/PROCEDURE.md. plannever implements. It hands off to/realm-planningand stops once a plan returns. Implementation is a separate, later, separately-approved action.
What ships with it
8 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.
- 1mo ago First seen · 77 lines · 108 tokens per session scan A 331e04e0798a
realm-concise is a skill published in the GitHub repository blackmo18/realm (0 stars, last pushed 2mo ago), licensed MIT. It adds 108 tokens to every session and 1,141 once invoked, about $0.0004 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 2026-10-02.
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