Borrowing it
Nothing to install: this file belongs to bablsoft/accessflow. 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/bablsoft/accessflow/main/CLAUDE.mdgit clone --depth 1 https://github.com/bablsoft/accessflowWrote 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/instructions/bablsoft/accessflow/claude-md)<a href="https://agentmods.dev/instructions/bablsoft/accessflow/claude-md"><img src="https://agentmods.dev/badge/instructions/bablsoft/accessflow/claude-md/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/instructions/bablsoft/accessflow/claude-md"><img src="https://agentmods.dev/badge/instructions/bablsoft/accessflow/claude-md.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 | $0.22048 | $0.22048 |
| Opus 5.5 | $0.08819 | $0.08819 |
| Sonnet 5.5 | $0.04410 | $0.04410 |
| Haiku 4.5 | $0.02205 | $0.02205 |
Grade B, and why
accessflow CLAUDE.md scanned grade B with 2 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 6d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
`default`, so the compiler will not find them all → `.claude/patterns/notification-fanout.md` Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
├── deploygov/ # Deployment approval governance (epic AF-682): gate CI/CD deployments behind approval workflows. #684 landed the persistence foundation — pipelines/environments/freeze windows/requests/decisions/routing/g How it starts
The opening of the file, as written. The whole thing — 763 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — AccessFlow Agent Rules
This file is the authoritative guide for AI agents implementing AccessFlow. Read it entirely before writing any code. When in doubt, prefer the rules here over general best-practice intuition.
Before writing code in an area, open .claude/patterns/README.md
and read the matching pattern. This file holds the rules that are always true; the patterns hold
the per-area detail — canonical examples with file:line, acceptance checklists, and the
anti-patterns whose failure mode is silent. docs/ remains the design reference for what to
build; the patterns describe how.
Project at a Glance
AccessFlow is an open-source database access governance platform. It is a full query proxy between users and customer databases, enforcing configurable review and approval workflows before any query executes. Core capabilities: AI-powered query analysis, multi-stage human approval chains, role-based access control, a tamper-evident audit log, and real-time notifications.
Supported engines. The relational engines (PostgreSQL, MySQL, MariaDB, Oracle, SQL Server) run over pooled JDBC in-process; any other JDBC engine can be added by uploading its driver JAR (db_type=CUSTOM). Everything else is an engine plugin — a standalone shaded JAR implementing the core.api.QueryEngine SPI, resolved on demand through the connector catalog, SHA-256 verified, and discovered via ServiceLoader:
| Category | Engines |
|---|---|
RELATIONAL |
PostgreSQL, MySQL, MariaDB, Oracle, SQL Server, CUSTOM (in-process JDBC) |
WAREHOUSE |
Snowflake, BigQuery, Databricks |
DOCUMENT |
MongoDB, Couchbase |
KEY_VALUE |
Redis, DynamoDB |
WIDE_COLUMN |
Cassandra, ScyllaDB (same JAR) |
SEARCH |
Elasticsearch, OpenSearch (same JAR) |
GRAPH |
Neo4j |
Each plugin has its own version line, pinned by URL + SHA-256 in connectors/<id>/connector.json; CI fails on pin drift. Per-engine specifics — dialect classifier, row-security shape and where it fails closed, connection model, shading — live in docs/05-backend.md (one section per engine). The host↔plugin contract and the add-an-engine checklist are docs/15-engine-sdk.md.
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.
- 6d ago Changed · +353 tokens per session 41d7e5022253
- 8d ago Changed · +290 tokens per session d132f9d24727
- 9d ago Changed · +153 tokens per session 66da14068fb0
- 23d ago Changed · +170 tokens per session 46c903b9b14b
- 25d ago Changed · +228 tokens per session 8f4a7c49b487
- 29d ago Changed · +116 tokens per session 5f151f3276f5
- 1mo ago Changed · +33 tokens per session 3df28eb4c05c
- 1mo ago Changed · +10 lines · +251 tokens per session a65c2a707c22
- 1mo ago Changed · +20 lines · +366 tokens per session ba56b50e87dd
- 1mo ago First seen · 733 lines · 20,088 tokens per session scan B 1bd9cfbfa81c
accessflow CLAUDE.md is an instructions file published in the GitHub repository bablsoft/accessflow (11 stars, last pushed today), licensed Apache-2.0. It adds 22,048 tokens to every session, about $0.0882 per session on Opus 5.5. A static security scan graded it B with 2 findings (reads agent configuration directories, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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