pythia

Oracle's MCP gives your agent a connection. pythia gives it the judgment to use it.

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An Agent Skills + CLI kit for developing PL/SQL on Oracle Database with AI coding agents (Claude Code, Codex, Cursor — any of the 76 agents npx skills supports).

pythia is a harness: a book of working rules an agent studies and follows when it sits next to a developer. Not a chatbot, not an autopilot — a disciplined assistant with three properties a good one has: knowledge (it asks the live schema, never its memory of one), judgment (it measures before it proposes), and obedience to rules it can recite (gates it will quote back to you rather than quietly skip).

Why ask the database instead of reading dumps

A real mid-size system, repo export vs live database, audited in 2026:

Code that "reads fine" against the dump references types and packages the dump never heard of. Every pythia command asks the live data dictionary instead — and every truncated output says so, so an agent never mistakes a partial answer for a full one.

The operating model: Learn → Ask → Do

Give the agent a problem — "add a column and every procedure that maintains it", "why does this report double rows", "port this fix" — and the kit walks it through the same three movements a careful senior developer makes.

1 · Learn — understand before proposing

The agent studies four things, in order, with tools instead of guesses:

Nothing in this phase writes. Reading is free, so the bar is: no proposal before the blast radius is known (pythia-impact's iron law) and no line written before the neighbours have been read (pythia-write's).

2 · Ask — the questions are part of the method, not an interruption

The kit makes the agent stop at exactly the moments where a human's judgment is the missing input, and forbids it to guess past them:

• Before any write: the full preview — diff, dependents, warnings — is relayed verbatim, and the agent waits for a real yes. A compliment is not a yes. Silence is not a yes.
• When the blast radius is large: ten or more dependents, or anything cross-schema, goes to the developer before code is written, not after.
• When sources of truth disagree: a standards document says one thing, the schema does another — that gap is a question ("rule nobody follows, new-code-only, or drift?"), never a silent pick.
• When something breaks: exit 3 means written but broken. The agent reports it exactly so, with the ready rollback — reporting success here is the one sin the whole kit is built to prevent.
• When policy refuses: the refusal is relayed as information, not routed around.

3 · Do — act inside a pipeline that cannot lie

Only after Learn and Ask does anything touch the database, and then only through one door: snapshot → impact → preview → token → apply → verify → report. DDL self-commits in Oracle, so the snapshot is the only real undo — it runs first and no flag disables it. A content-bound token guarantees what lands is byte-for-byte what was approved. And the CLI enforces the gates itself: a headless agent cannot --yes its own writes or loosen policy — that takes a human at a real terminal.

The same discipline holds when the developer does the work: src and impact silently snapshot what they read, so even a change made by hand in SQL Developer has a rollback file waiting (history lists them, drift is reported when source moved with no apply behind it).

Học – Hỏi – Làm — Learn, Ask, Do. If the agent cannot show which phase it is in, it is doing none of them.

Install

npx pythia-plsql           # everything: pip install + skills picker + config scaffold

Or the same thing piecewise:

pip install pythia-plsql   # the CLI (thin driver — no Oracle Instant Client needed)
python -m pythia install   # skills into your agent + .pythia/ scaffold
pythia check               # fill in connections.json first, then verify

The pip package is the whole kit: with Node.js present, pythia install runs npx skills add (77 agents, symlinked updates; --source <git-url> for internal mirrors) — without Node it copies the bundled pack itself. Prefer global skills: pythia install -g once per machine serves every project, and per-project installs then skip the skills step automatically — one copy anywhere means no skill ever shows up twice in the agent's menu. Skills alone: npx skills add thaildhe172591/pythia, or /plugin marketplace add thaildhe172591/pythia.

pip install is once per machine; pythia install is once per project — run it in each repo's root to drop the skills and a fresh .pythia/connections.json there. The CLI always reads the config of the project you are standing in (searched upward from the current directory, no global fallback), so one global CLI never mixes up databases.

Updating follows the same split:

pip install --upgrade pythia-plsql   # new CLI version (once per machine)
pythia install                       # refresh a project's skills; config never touched

(npx skills update also works for skills installed via npx.)

Running from a clone works too — python scripts/pythia.py <command>; every printed follow-up command matches how you invoked it. Windows, macOS, Linux and WSL are all CI-tested.

Commands

Every command takes --json (machine output), --conn (pick a connection), and caps output with explicit truncation markers so context windows stay intact.

The safety net covers hand edits too: src and impact snapshot the object silently into the journal, each with a runnable rollback file, so a change made later in SQL Developer still has something to go back to — pythia history <OBJECT> lists the versions. Source that moved with no apply behind it is reported as drift.

Your house style is config, not folklore: put naming patterns in .pythia/conventions.json and apply previews warn when a new object's name drifts; put the prose rules in .pythia/conventions.md and the skills make every agent read them first (pythia conventions shows both).

Security & write policy

The account is the real security layer — the policy file is an application-side fence. Give the agent its own revocable credential with proxy authentication (agent_user[schema_owner], no ANY privileges, no owner password shared):

pythia agent-user --save   # SQL for the DBA + matching credential saved as <conn>_agent
pythia check               # after the DBA ran it: proxy session, warning gone

One run does both — the password is regenerated each run, so the SQL and the saved config must come from the same run. Optional convenience: doing it by hand with examples/agent-user-setup.example.sql works just as well. pythia check warns when the session runs with more power than the task needs.

Using Claude Code? examples/claude-code-settings.example.json stops it prompting for the read-only commands and asks it to pause on writes — optional, and yours to install (why pythia does not).

Per-group write policy, .pythia/policy.json (defaults shown):

The groups that cannot be snapshotted default to deny — and the refusal says that, instead of "policy forbids it". Anonymous PL/SQL blocks are refused outright. Unrecognized statements are refused, never guessed into a group.

Threat model and what a snapshot does not restore: SECURITY.md.

Reads may flow through Oracle's official SQLcl MCP server (sql -mcp, keep -R 4); it audits every interaction in DBTOOLS$MCP_LOG. Writes never do — only pythia apply has the snapshot, preview, verify and journal.

Skills

Eight skills teach the agent the workflow — gates, not suggestions:

pythia-spec (open decisions are asked, not assumed) · pythia-setup · pythia-explore · pythia-impact (before any change) · pythia-write (copy the codebase's conventions) · pythia-apply (the gate: the developer approves the preview in chat) · pythia-review (antipatterns) · pythia-conventions (adopt a house style, verified against real names) · pythia-skill-author (capture your team's workflow as a skill).

Compatibility

Star History

Contributing

Tests need no database — the fakes prove the safety properties (snapshot before write, deny touches nothing, stale tokens refused). See CONTRIBUTING.md.

MIT — see LICENSE.