Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add vladm3105/aidoc-flow-framework/plugin install aidoc-flowWrote 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/vladm3105/aidoc-flow-framework/doc-adr-autopilot)<a href="https://agentmods.dev/skills/vladm3105/aidoc-flow-framework/doc-adr-autopilot"><img src="https://agentmods.dev/badge/skills/vladm3105/aidoc-flow-framework/doc-adr-autopilot/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/vladm3105/aidoc-flow-framework/doc-adr-autopilot"><img src="https://agentmods.dev/badge/skills/vladm3105/aidoc-flow-framework/doc-adr-autopilot.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 | $0.00064 | $0.02305 |
| Opus 5 | $0.00032 | $0.01153 |
| Sonnet 5 | $0.00013 | $0.00461 |
| Haiku 4.5 | $0.00006 | $0.00231 |
Grade A, and why
doc-adr-autopilot 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.
How it starts
The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
doc-adr-autopilot
Purpose
Automated ADR generation pipeline. From an upstream artifact
(BRD §8 / PRD §14 / EARS / BDD), a user prompt, or an implementation plan
(IPLAN-*), it analyzes the source, scopes the decision, generates a complete
Context-Decision-Consequences record, validates readiness, maintains
ADR-00_index.md, and drives the audit↔fix cycle to a passing score — for one
ADR or a batch.
Layer: 5. Upstream: BRD → PRD → EARS → BDD (or a prompt/IPLAN). Downstream: a validated ADR + index entry.
Skill Dependencies
| Skill | Role |
|---|---|
../doc-adr/SKILL.md |
ADR structure and authoring rules (generation) |
../doc-adr-audit/SKILL.md |
quality gate (scoring + findings) |
../doc-adr-fixer/SKILL.md |
applies fixes from the audit report |
../doc-naming/SKILL.md |
element-ID standards |
../adr-roadmap/SKILL.md |
plans the set of ADRs a project needs |
Input Contract
Accepts: a target ADR id/path; an upstream id (BRD-NN/PRD-NN/EARS-NN/
BDD-NN) or topic element id; a free-text prompt; or an IPLAN path. Optional:
score threshold (default 90), max fix iterations (default 3), batch list. With
no explicit input, treat the request as a prompt.
Smart Document Detection
For each target, check whether the ADR already exists (nested folder
docs/05_ADR/ADR-NN_{slug}/):
- Missing → generate mode (synthesize the decision from the upstream).
- Exists → review & fix mode (audit, then fix if below threshold).
Determine deliverable_type (code/document/ux/risk/process,
inherited from upstream) and the originating topic (PRD §14, tracing back to
BRD §8) from the source content. One ADR records one decision.
Model precheck
Advisory, best-effort. Surfaces the model you recommended for this layer; it cannot switch the session model. Before invoking the driver:
- If
.claude/aidoc-flow.config.yamlis absent, or has nomodel.*keys, skip this section entirely (no output). - Resolve the recommended model:
model.per_layer.ADRif set, elsemodel.default. - Act on
model.precheck(warn|silent|block):warn(default) — print one line, then continue to the driver:ℹ ADR recommends model '<rec>'. If you're not on it, run /model <rec> (or set model.precheck: silent to hide this).silent— print nothing; continue.block— print the line above plusprecheck=block: confirm you want to draft on the current model, or run /model <rec> first., then wait for the user to confirm before continuing.
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 Changed d9f5b7bc6fe5
- 5d ago Changed · +1 lines 3d9dc1c89677
- 9d ago First seen · 190 lines · 64 tokens per session scan A 4ad831648556
doc-adr-autopilot is a skill published in the GitHub repository vladm3105/aidoc-flow-framework (17 stars, last pushed yesterday), licensed MIT. It adds 64 tokens to every session and 2,305 once invoked, about $0.0003 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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