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 agentmods add commands/atuljha23/holocron/adrgit clone --depth 1 https://github.com/atuljha23/holocronWrote 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/commands/atuljha23/holocron/adr)<a href="https://agentmods.dev/commands/atuljha23/holocron/adr"><img src="https://agentmods.dev/badge/commands/atuljha23/holocron/adr.svg" alt="Measured on agentmods" 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 | $0.00040 | $0.00455 |
| Opus 5 | $0.00020 | $0.00228 |
| Sonnet 5 | $0.00008 | $0.00091 |
| Haiku 4.5 | $0.00004 | $0.00046 |
Grade A, and why
adr 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 4d 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.
What it actually says
/holocron:adr
Title: $ARGUMENTS
Locate the ADR directory
Check in this order and use the first one that exists:
docs/adr/docs/adrs/adrs/adr/docs/decisions/
If none exists, default to docs/adr/ and create it.
Determine the next number
Look at existing NNNN-*.md files and pick next. If none, use 0001.
Write the ADR
File: <adr-dir>/<NNNN>-<slug>.md (slug = lowercased title, hyphens, no punctuation).
Template (MADR-inspired):
# <Title>
- **Status**: Proposed
- **Date**: <YYYY-MM-DD>
- **Deciders**: <who>
- **Supersedes**: — | **Superseded by**: —
## Context and problem statement
<what forces are at play; why a decision is needed now>
## Decision drivers
- <driver 1>
- <driver 2>
## Considered options
1. **<option A>** — sketch
2. **<option B>** — sketch
3. **<option C>** — sketch
## Decision outcome
Chosen option: **<option X>**, because <reason>.
### Positive consequences
- <what becomes easier>
### Negative consequences
- <what becomes harder / what we defer>
## Validation
<how we will know this was the right call — a measurable outcome or a review trigger>
Delegate the prose drafting to @architect (who holds the tradeoff discipline) and optionally polish with @docs-writer.
After writing, print the file path and the TL;DR.
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.
- 4d ago First seen · 73 lines · 40 tokens per session scan A 82ca338b8d95
adr is a command published in the GitHub repository atuljha23/holocron (2 stars, last pushed 4mo ago), licensed MIT. It adds 40 tokens to every session and 455 once invoked, about $0.0002 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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