Borrowing it
Nothing to install: this file belongs to AHepi/DeepReason. 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/AHepi/DeepReason/main/.claude/skills/dr-change-orchestrator/SKILL.mdgit clone --depth 1 https://github.com/AHepi/DeepReasonWrote 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/ahepi/deepreason/dr-change-orchestrator)<a href="https://agentmods.dev/skills/ahepi/deepreason/dr-change-orchestrator"><img src="https://agentmods.dev/badge/skills/ahepi/deepreason/dr-change-orchestrator.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00078 | $0.01325 |
| Opus 5 | $0.00039 | $0.00662 |
| Sonnet 5 | $0.00016 | $0.00265 |
| Haiku 4.5 | $0.00008 | $0.00133 |
Grade A, and why
dr-change-orchestrator 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 3d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DeepReason change orchestrator
The operator has suggested a change. Your job is to implement exactly
that change — not the change you would have designed, not the
neighboring improvement, not a partial version you forgot to finish.
This workflow differs from deepreason-orchestrator (defects): there
is no diagnosis; the authority is the OPERATOR'S WORDS, and every
phase traces back to them.
The ledger rule (the anti-forgetting mechanism)
REQUEST.md is the single source of authority. It holds the
operator's suggestion VERBATIM, split into numbered requirements
(R1, R2, ...). Every later artifact cites requirement numbers.
- Before starting ANY phase, re-read REQUEST.md and CHECKLIST.md in full. Context windows lose earlier turns; the ledger does not.
- If the operator sends a new message mid-workflow: APPEND it to
REQUEST.md verbatim as new numbered requirements (or amendments
"R2a supersedes R2") BEFORE acting on it, then route to
dr-spec-changeto reconcile. Never absorb new instructions silently into the current step. - A requirement is never deleted, only marked
superseded-by:<n>ordeferred (operator approved <where>).
Scope contract
- Implement what REQUEST.md says. Where it is silent, choose the
smallest reasonable interpretation and RECORD the assumption in
SPEC.md; where two readings differ materially in effort or
behavior, stop and ask — one batched question, not a dribble.
Before asking, load
dr-ask-the-right-question: derive the answer from the record and the operator's recorded values first; a fork the dominance test kills is decided and noted, not asked. - Anything you notice that is broken but not requested: into
PARKED.md(a defect goes to thedeepreason-orchestratorworkflow later). Never fix it now. Write the entry for its future runner, at park time: one line of WHAT, then a ready-to-send prompt (route, one-goal statement, evidence pointers, end state) — the follow-up should cost the operator a paste, not an authoring session. - Stop conditions: a step fails twice the same way; the spec turns
out to require touching frozen-record semantics (state digests,
event application, replay formats, qualification subjects); the
estimated diff exceeds SPEC.md's budget; or a requirement
contradicts the record/codebase (report the contradiction, do not
pick a side silently). Every stop follows the standard format —
decision in ONE sentence, options priced, a recommendation with its
reason — canonical in
dr-drive-harness§6's calibration note.
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.
- 3d ago Changed · +2 lines bdf4bbce0e52
- 8d ago First seen · 111 lines · 78 tokens per session scan A 876341f55778
dr-change-orchestrator is a skill published in the GitHub repository AHepi/DeepReason (142 stars, last pushed today), licensed MIT. It adds 78 tokens to every session and 1,325 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 2026-08-30.
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