/pyghidra-scripting
Write and run Python (PyGhidra) code inside the Ghidra session that ReVa's MCP server is already attached to, using the five ReVa scripting tools — `run-script`, `list-scripts`, `read-script`, `write-script`, `edit-script`. Use this whenever the user asks to execute Python
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Write and run Python (PyGhidra) code inside the Ghidra session that ReVa's MCP server is already attached to, using the five ReVa scripting tools — `run-script`, `list-scripts`, `read-script`, `write-script`, `edit-script`. Use this whenever the user asks to execute Python
SKILL.md
pyghidra-scripting.SKILL.mdname: pyghidra-scripting
description: Write and run Python (PyGhidra) code inside the Ghidra session that ReVa's MCP server is already attached to, using the five ReVa scripting tools — `run-script`, `list-scripts`, `read-script`, `write-script`, `edit-script`. Use this whenever the user asks to execute Python against the current program, reach for the Ghidra Flat API directly, write a custom analysis pass, automate something the other ReVa tools don't expose, or persist a `.py` script in Ghidra's scripts directory. Also use when an existing ReVa MCP tool can't do what's needed and the right answer is "drop into PyGhidra for one call." Do NOT use this skill for plain ReVa tool calls that already have a dedicated MCP tool (use that tool instead); do NOT use it to build standalone Python programs that run pyghidra in their own process (the run-script tool runs *inside* the ReVa-hosted Ghidra).
PyGhidra scripting via ReVa
ReVa exposes five MCP tools under the `scripts` provider that let an assistant write, edit, run, and inspect Python scripts inside the same Ghidra session ReVa is serving. The Python code runs under PyGhidra (CPython 3 + JPype), so it has the full Ghidra Java API available — the `FlatProgramAPI`, `DecompInterface`, `FunctionManager`, everything.
This skill teaches when to reach for these tools, how to structure the Python you send to `run-script`, and the pitfalls that bite in practice.
The five tools at a glance
| Tool | Purpose | Use when | |---|---|---| | `run-script` | Execute Python against a program. Inline `code`, or by `scriptPath` / `scriptName`. | The dedicated ReVa MCP tools don't cover what you need, or you want one tight pass over the program. | | `list-scripts` | Enumerate scripts across registered directories. Filterable by name/path; paginated. | Discovering what's already saved before writing a new one. | | `read-script` | `cat -n` view of a script with `offset` / `limit` and a `truncated` flag. | Reading an existing script before editing it. The numbered output is what `edit-script` lines up against. | | `write-script` | Create a new `.py` file (or full overwrite with `overwrite: true`). User-writeable dirs only. | Saving a reusable script. Never reach for this just to bundle inline code — use `run-script` with `code` for one-shot use. | | `edit-script` | `old_string` → `new_string` replacement. Errors if `old_string` matches multiple places unless `replace_all: true`. | Iterating on an existing script. Pair with `read-script` to see line context first. |
Reach-for-it triggers
`run-script` is the escape hatch. Use it when:
- You need to run a custom predicate over every function/symbol/instruction and the existing list/find tools don't filter the right way.
- You need to combine multiple Ghidra API calls into one operation that would otherwise take many MCP round-trips.
- You want to use a Ghidra API ReVa doesn't expose — e.g. `DecompInterface` low-level features, `PCode` analysis, custom `AddressSet` arithmetic, the data flow API directly, `BinaryReader`, etc.
- You're prototyping; once it works and is reusable, save it with `write-script`.
Don't use `run-script` when a dedicated ReVa MCP tool already does the job — those tools have stable schemas and structured output that's easier to reason about than free-form `stdout`. The decompiler / functions / strings / symbols / xrefs tools cover the common path.
Runtime gate: PyGhidra-only
`run-script` only works when Ghidra was launched **under PyGhidra**:
- ✅ `mcp-reva` (Claude CLI / stdio mode)
- ✅ `pyghidra-gui` (GUI mode launched with PyGhidra)
- ✅ `reva_headless_server.py` (headless mode via PyGhidra)
- ❌ Plain `ghidraRun` — PyGhidra is not wired in; you'll get a `PyGhidraNotAvailableException` error response with launch guidance.
If a `run-script` call comes back with that error, the right move is to tell the user how to relaunch (don't keep retrying). The other four tools (`list-scripts`, `read-script`, `write-script`, `edit-script`) work in every mode because they're plain file operations.
The execution contract for `run-script`
This is the contract your inline `code` (or saved script) runs under. Internalise it — most failures come from getting one of these wrong.
**Pre-bound globals.** The script runs as a Ghidra PyGhidra script, so the standard `GhidraScript` globals are already defined: `currentProgram`, `currentAddress`, `currentSelection`, `currentHighlight`, `monitor`, `state`, plus `FlatProgramAPI` helpers like `toAddr`, `getFunctionAt`, `getFunctionContaining`, `getSymbolAt`, `getInstructionAt`, `getDataAt`, `getReferencesTo`, `getReferencesFrom`, `createLabel`, `setEOLComment`, `find`, `findBytes`, `clearListing`. You do **not** need to import or set these up. `currentProgram` is the program identified by the `programPath` argument.
**No automatic transaction.** Unlike GhidraScripts run from inside Ghidra's GUI, ReVa's `run-script` deliberately does **not** open a transaction around your code. Any mutation (rename, retype, comment, label, create function, etc.) must be wrapped manually:
tx = currentProgram.startTransaction("Describe the edit")
try:
# ... do stuff that mutates state ...
currentProgram.endTransaction(tx, True) # commit
except Exception:
currentProgram.endTransaction(tx, False) # roll back
raiseThis is intentional — auto-wrapping at the tool layer would create nested-transaction footguns when scripts already handle their own. Read-only scripts (printing, counting, dumping) need no transaction at all.
**Inline header.** When you pass `code`, the tool prepends `# @runtime PyGhidra\n` automatically. Don't add it yourself.
**Cancellation is cooperative.** The configured timeout (default 60s, overridable per-call via `timeoutSeconds`) only fires if your code yields to the monitor. In long loops, call `monitor.isCancelled()` regularly and break:
fm = currentProgram.getFunctionManager()
for func in
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name: pyghidra-scripting description: Write and run Python (PyGhidra) code inside the Ghidra session that ReVa's MCP server is already attached to, using the five ReVa scripting tools — `run-script`, `list-scripts`, `read-script`, `write-script`, `edit-script`. Use this whenever the user asks to execute Python against the current program, reach for the Ghidra Flat API directly, write a custom analysis pass, automate something the other ReVa tools don't expose, or persist a `.py` script in Ghidra's scripts directory. Also use when an existing ReVa MCP tool can't do what's needed and the right answer is "drop into PyGhidra for one call." Do NOT use this skill for plain ReVa tool calls that already have a dedicated MCP tool (use that tool instead); do NOT use it to build standalone Python programs that run pyghidra in their own process (the run-script tool runs *inside* the ReVa-hosted Ghidra).
PyGhidra scripting via ReVa
ReVa exposes five MCP tools under the `scripts` provider that let an assistant write, edit, run, and inspect Python scripts inside the same Ghidra session ReVa is serving. The Python code runs under PyGhidra (CPython 3 + JPype), so it has the full Ghidra Java API available — the `FlatProgramAPI`, `DecompInterface`, `FunctionManager`, everything.
This skill teaches when to reach for these tools, how to structure the Python you send to `run-script`, and the pitfalls that bite in practice.
The five tools at a glance
| Tool | Purpose | Use when | |---|---|---| | `run-script` | Execute Python against a program. Inline `code`, or by `scriptPath` / `scriptName`. | The dedicated ReVa MCP tools don't cover what you need, or you want one tight pass over the program. | | `list-scripts` | Enumerate scripts across registered directories. Filterable by name/path; paginated. | Discovering what's already saved before writing a new one. | | `read-script` | `cat -n` view of a script with `offset` / `limit` and a `truncated` flag. | Reading an existing script before editing it. The numbered output is what `edit-script` lines up against. | | `write-script` | Create a new `.py` file (or full overwrite with `overwrite: true`). User-writeable dirs only. | Saving a reusable script. Never reach for this just to bundle inline code — use `run-script` with `code` for one-shot use. | | `edit-script` | `old_string` → `new_string` replacement. Errors if `old_string` matches multiple places unless `replace_all: true`. | Iterating on an existing script. Pair with `read-script` to see line context first. |
Reach-for-it triggers
`run-script` is the escape hatch. Use it when:
- You need to run a custom predicate over every function/symbol/instruction and the existing list/find tools don't filter the right way.
- You need to combine multiple Ghidra API calls into one operation that would otherwise take many MCP round-trips.
- You want to use a Ghidra API ReVa doesn't expose — e.g. `DecompInterface` low-level features, `PCode` analysis, custom `AddressSet` arithmetic, the data flow API directly, `BinaryReader`, etc.
- You're prototyping; once it works and is reusable, save it with `write-script`.
Don't use `run-script` when a dedicated ReVa MCP tool already does the job — those tools have stable schemas and structured output that's easier to reason about than free-form `stdout`. The decompiler / functions / strings / symbols / xrefs tools cover the common path.
Runtime gate: PyGhidra-only
`run-script` only works when Ghidra was launched **under PyGhidra**:
- ✅ `mcp-reva` (Claude CLI / stdio mode)
- ✅ `pyghidra-gui` (GUI mode launched with PyGhidra)
- ✅ `reva_headless_server.py` (headless mode via PyGhidra)
- ❌ Plain `ghidraRun` — PyGhidra is not wired in; you'll get a `PyGhidraNotAvailableException` error response with launch guidance.
If a `run-script` call comes back with that error, the right move is to tell the user how to relaunch (don't keep retrying). The other four tools (`list-scripts`, `read-script`, `write-script`, `edit-script`) work in every mode because they're plain file operations.
The execution contract for `run-script`
This is the contract your inline `code` (or saved script) runs under. Internalise it — most failures come from getting one of these wrong.
**Pre-bound globals.** The script runs as a Ghidra PyGhidra script, so the standard `GhidraScript` globals are already defined: `currentProgram`, `currentAddress`, `currentSelection`, `currentHighlight`, `monitor`, `state`, plus `FlatProgramAPI` helpers like `toAddr`, `getFunctionAt`, `getFunctionContaining`, `getSymbolAt`, `getInstructionAt`, `getDataAt`, `getReferencesTo`, `getReferencesFrom`, `createLabel`, `setEOLComment`, `find`, `findBytes`, `clearListing`. You do **not** need to import or set these up. `currentProgram` is the program identified by the `programPath` argument.
**No automatic transaction.** Unlike GhidraScripts run from inside Ghidra's GUI, ReVa's `run-script` deliberately does **not** open a transaction around your code. Any mutation (rename, retype, comment, label, create function, etc.) must be wrapped manually:
tx = currentProgram.startTransaction("Describe the edit")
try:
# ... do stuff that mutates state ...
currentProgram.endTransaction(tx, True) # commit
except Exception:
currentProgram.endTransaction(tx, False) # roll back
raiseThis is intentional — auto-wrapping at the tool layer would create nested-transaction footguns when scripts already handle their own. Read-only scripts (printing, counting, dumping) need no transaction at all.
**Inline header.** When you pass `code`, the tool prepends `# @runtime PyGhidra\n` automatically. Don't add it yourself.
**Cancellation is cooperative.** The configured timeout (default 60s, overridable per-call via `timeoutSeconds`) only fires if your code yields to the monitor. In long loops, call `monitor.isCancelled()` regularly and break:
fm = currentProgram.getFunctionManager() for func in
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