Borrowing it
Nothing to install: this file belongs to FeanorsCodeSL/imladris. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/FeanorsCodeSL/imladris/main/.agents/skills/imladris-deliberate/SKILL.mdgit clone --depth 1 https://github.com/FeanorsCodeSL/imladrisWrote 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/feanorscodesl/imladris/imladris-deliberate)<a href="https://agentmods.dev/skills/feanorscodesl/imladris/imladris-deliberate"><img src="https://agentmods.dev/badge/skills/feanorscodesl/imladris/imladris-deliberate/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/feanorscodesl/imladris/imladris-deliberate"><img src="https://agentmods.dev/badge/skills/feanorscodesl/imladris/imladris-deliberate.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 | $0.00089 | $0.00864 |
| Opus 5 | $0.00044 | $0.00432 |
| Sonnet 5 | $0.00018 | $0.00173 |
| Haiku 4.5 | $0.00009 | $0.00086 |
Grade A, and why
imladris-deliberate 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 10d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Imladris Deliberation
When to use
Reach for Imladris when a task is hard enough that one model's answer is risky: research questions, design/architecture trade-offs, "compare X and Y", expert critique, or anything where being wrong is costly. For quick lookups, answer directly — deliberation costs ~N panel calls + an analysis call.
Quick Start
Imladris is an MCP stdio server — there is no HTTP endpoint, port, or token.
Your harness spawns imladris-mcp; call its tools directly. The /council prompt
wraps the one-shot flow below. Use /council-session when the user wants a sustained
back-and-forth with the same council.
Call the imladris tool:
prompt(required),context(optional extra context for every panellist)presetorpanel— which of your configured providers answeranalysis_model— override which provider runs the analysis judgethread_id— present means session mode; Imladris reads/writes the local~/.imladris/sessions/<thread_id>.jsonfile and reconstructsmessages[]prior_answer— in session mode, pass your previously authored answer for this thread so Imladris can store it as the assistant turn
Inspect configuration and health with imladris_status (resolved roster, roles,
presets, budget thresholds, budget estimates — never secrets or env-var names). Clear
local session files with imladris_clear_sessions.
Workflow
- If
meta.ok == 0, every panellist failed and the tool returns a cleanmeta.failure— say so instead of inventing evidence; let the harness fall back. - Send the user's question as
prompt. Addcontextfor files/constraints. - Pick a
preset(your configured presets — use alocal-onlypreset when the data must not leave the network) or an explicitpanel. - You are the final author. Read the
analysis— especiallyblind_spotsandcontradictions— and theraw_answers, then write the answer, preserving genuine disagreements and caveats rather than smoothing them away. - For a session, use the same
thread_idon each turn and pass your last answer asprior_answer. If the host drops it, Imladris backfills from stored analysis. - When the analysis flags a claim as low-confidence, verify it before relying on it.
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.
- 10d ago First seen · 62 lines · 89 tokens per session scan A 071d94182f64
imladris-deliberate is a skill published in the GitHub repository FeanorsCodeSL/imladris (4 stars, last pushed 2mo ago), licensed MIT. It adds 89 tokens to every session and 864 once invoked, about $0.0004 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 2026-08-31.
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