agentsclimarketplace

Reading assembly

Skill gerph/riscos-agent-skills/skills/reading-assembly

Skills repository for RISC OS agents

Install
npx -y skills add gerph/riscos-agent-skills --skill reading-assembly

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Read and translate RISC OS ObjAsm/ARM assembly into another language, PyModule, tests, or interface documentation. Use when converting `s/*` assembler modules, reconstructing SWI behaviour, validating comments against generated tables/disassembly, or proving binary-compatible data layout and boundary behaviour.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

7.4 KB, as published. Nobody here has run it

Reading Assembly For Conversion

Core Workflow

  1. Start from the public module surface, not the algorithm comments. Read the module header, exported headers, SWI names table, command table, service table, and error blocks before translating implementation code.

  2. Record the calling contract before writing code: input registers, output registers, preserved/corrupted registers, V flag behaviour, processor mode, IRQ state, and error block numbers/messages.

  3. Treat comments as hypotheses. Verify them against instructions, generated lookup tables, and the built binary. Old assembler comments often describe the intended maths but not the exact boundary behaviour or packing order.

  4. Validate external interfaces against documentation before translating calls that cross a module, vector, SWI, or service boundary. If the register contract cannot be found in local docs, PRM-in-XML, source comments, or an authoritative external reference, report that uncertainty to the user instead of filling in registers from guesswork.

  5. Translate the observed behaviour, not the apparent structure. It is acceptable for the target language to use clear loops where the assembler uses lookup tables, register reuse, or carry tricks, but outputs and errors must match exactly.

  6. Write independent behavioural tests. Use a second implementation in BASIC, C, or a small host script to generate expected results. Run the same tests against the original module and the converted implementation.

What To Read

Use this order when source is available:

  • docs/* and prminxml/* to provide development and implementation details.
  • hdr/* or exported interface files: SWI base, names, "internal use" notes.
  • any equivalent C reference implementation
  • Module header in s/*: title, help string, SWI chunk, handler offsets, feature flags, command table, message file.
  • SWI dispatch code: how R11 or reason registers are decoded, and how unknown SWIs branch to errors.
  • Entry comments near labels: useful for register contracts, but verify.
  • Parameter checks: bit masks, signed comparisons, null cases, and special exits.
  • Main loops: pointer increments, loop counters, alignment assumptions, and final-iteration paths.
  • Generated tables: table shape and indexing direction may reveal the true algorithm better than prose comments.
  • Built binary with riscos-dumpi: final code after conditional assembly, macro expansion, version conditionals, and linker layout.

Assembly Patterns To Prove

Bit And Nibble Order

Do not infer source pixel order from words like "leftmost" in comments. Check the actual shifts and masks:

  • AND ..., word, LSR shift with shift += 4 reads from low bits upward.
  • ORR outword, pixel, outword, LSR #4 packs each new high-nibble pixel while shifting earlier pixels downward; the stored word may have the first output pixel in the least significant nibble after finalisation.
  • A final MOV outword, outword, LSR #4 before STR changes the apparent packing order.
  • Cross-word cases using oldword LSR #n and newword LSL #(32-n) may start at a different source bit than the regular loop.

Create a tiny data test that prints raw output words. Compare the first word against candidate interpretations before committing to a data layout.

Lookup Tables

For generated DCB tables:

  • Reconstruct the formula by testing table entries, not by trusting nearby comments.
  • Check whether index 0 is omitted because code avoids zero lookups.
  • Check negative indexing such as LDRB ..., [table, -index]; the label may point to the middle or end of a combined table.
  • Check whether version conditionals select a different table layout.

If a direct mathematical translation disagrees with the native module, inspect the table bytes and derive the weights or values from them.

Boundary Paths

Read the path after the main inner loop separately. It often handles the last pixel or the word boundary and may not be equivalent to the regular loop.

Watch for:

  • Column counters based on byte stride rather than pixel count.
  • "Do not do last pixel" branches that leave the final nibble unused.
  • Cross-word reads that intentionally use bits from the next source word.
  • Reads which assume spare storage or an unused end bit.
  • Null operations such as SUBS rowcount, rowcount, #3 followed by an immediate return on equality.

Included helper sources

Some RISC OS sources mix assembler dispatch code with included helper implementations. In the SpriteOp sources, for example, SprExtend pulls in the tiling implementation from s_c.tile after gettile_renderfunc. If you only read the entrypoint and stop there, you will miss the real algorithm.

When a routine appears to hand work off to a symbol that is not defined nearby:

  • scan the bottom of the file for GET includes
  • treat those helper sources as part of the same implementation unit
  • if code is not provided, ask the user for implementation details or example code

Error handling

Translate exact error behaviour:

  • V set returns R0 as an error block pointer.
  • V clear may still corrupt R0 if the contract says so.
  • Standard-looking errors may use module-local tokens with standard error numbers.
  • Parameter checks such as AND rowcount,#&80000003 also reject negative values; preserve that, rather than checking only value MOD 4.

For PyModules, raise RISCOSSyntheticError(ro, number, message) when matching an existing module error that is not naturally defined by error_base.

Conversion Strategy

Prefer a clear reference implementation first:

  1. Implement a direct version in the target language.
  2. Build BASIC tests that calculate expected values independently.
  3. Run the tests against the original module.
  4. Fix the reference if the original proves different from the comments.
  5. Run the same tests against the conversion.
  6. Add edge cases for validation failures, empty/null inputs, and final-word boundaries.

When converting to a PyModule:

  • Define swi_base, swi_prefix, and swi_names from the assembler header.
  • Dispatch by SWI offset.
  • Use self.ro.memory[address].byte, .word, read_bytes, and write_bytes for guest memory. Do not use host file or byte objects as substitutes for RISC OS memory.
  • Preserve guest-visible side effects: output size, untouched padding, error flags, and which registers are intentionally left alone.
  • Keep the Python code readable; performance optimisations can wait until behavioural tests are green.

Validation Checklist

Before declaring a conversion correct:

  • Run tests against the original assembled module and the converted module.
  • Include tests for both normal and error paths.
  • Include at least one case that crosses an input word boundary.
  • Check raw output words, not only rendered images or high-level summaries.
  • Re-run documentation lint/build if interface documentation was corrected.
  • Note any case where source comments were corrected because the binary proved different behaviour.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.