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-chg-autopilot)<a href="https://agentmods.dev/skills/vladm3105/aidoc-flow-framework/doc-chg-autopilot"><img src="https://agentmods.dev/badge/skills/vladm3105/aidoc-flow-framework/doc-chg-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-chg-autopilot"><img src="https://agentmods.dev/badge/skills/vladm3105/aidoc-flow-framework/doc-chg-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 | $0.00053 | $0.02641 |
| Opus 5 | $0.00026 | $0.01321 |
| Sonnet 5 | $0.00011 | $0.00528 |
| Haiku 4.5 | $0.00005 | $0.00264 |
Grade A, and why
doc-chg-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 — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
doc-chg-autopilot
Purpose
Automated CHG pipeline. From a change request — a diff, an incident, a prompt, or an upstream artifact edit — it detects the change, classifies the level, drafts a complete CHG record, traces the cross-layer cascade, registers it, and prepares the entry gate for approval — for one change or a batch.
CHG is NOT a lifecycle layer in the BRD..IPLAN sense: no template chain,
no readiness score. The pipeline closes on gate approval, not a numeric
score. For team-mode dispatch purposes the CHG layer is addressed as
09_CHG (the layer-id slot occupied by the change-management overlay).
This autopilot deliberately carries no ## Model precheck step. The
per-layer model recommendation (MODEL-PRECHECK-ROLLOUT) applies to the eight
lifecycle-layer autopilots (BRD..IPLAN); CHG is a governance overlay with no
model.per_layer.CHG entry, so there is nothing to precheck. The conformance
suite (tests/conformance/platforms/test_model_precheck.py) asserts the
precheck on exactly those eight — CHG's absence is intentional, not a gap.
Skill Dependencies
| Skill | Role |
|---|---|
../doc-chg/SKILL.md |
CHG structure, classification, and routing rules |
../doc-chg-audit/SKILL.md |
gate-readiness check (pass/fail + fix list) |
../doc-chg-fixer/SKILL.md |
applies fixes from the audit report |
../gate-check/SKILL.md |
runs the formal gate (C3/Emergency) + approval form |
../review-team/SKILL.md |
team-mode dispatcher (parallel persona subagent fan-out) |
Input Contract
Accepts: a target CHG-NN/path; a diff or list of edited artifacts; an incident
reference; or a free-text change description. Optional: max fix iterations
(default 3), batch list. With no explicit input, treat the request as a change
description and infer the source.
Smart Document Detection
For each target, check whether the CHG already exists in the change registry
(CHG-00_index.md):
- Missing → generate mode (draft a new CHG record).
- Exists → review & fix mode (audit, then fix if it fails gate-readiness).
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 cbcb5be6026f
- 6d ago Changed 21ca09396eaf
- 9d ago First seen · 204 lines · 53 tokens per session scan A d5b768edaaa0
doc-chg-autopilot is a skill published in the GitHub repository vladm3105/aidoc-flow-framework (17 stars, last pushed today), licensed MIT. It adds 53 tokens to every session and 2,641 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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