spec-probe
Check C/C++ requirements from Markdown, DOCX or PDF with VS Code Copilot.
Quick start
Requires Linux, Python ≥ 3.11, pip ≥ 23.0 and Copilot access.
python3 -m pip install -U spec-probe
spec-probe-skill --vscode
Reload VS Code → choose Claude Sonnet 5.5 in the chat picker → run setup once:
/spec-setup
Provide module/spec paths; the agent proposes dependency/index scope, then handles
login, indexing, pack and parsing. For browser login, setup pauses until you say “xong rồi” / “done”.
Use /spec-setup resume only after interruption or input changes; status checks
readiness. Never paste tokens into chat.
Daily use
Chat naturally in Vietnamese or English; the examples below are not fixed commands.
Rephrase freely or ask follow-up questions. /spec-cover helps route the request explicitly.
| Task | Example chat message |
|---|---|
| Show all requirement details | /spec-cover show all requirements with IDs and full descriptions; open the full catalog if too long for chat |
| Verify one requirement | /spec-cover verify FR-001 |
| Or verify a section | /spec-cover verify section 3.2 |
| Or check pasted text | /spec-cover check requirement: The module shall initialize within 500ms |
| Audit findings against source | /spec-audit |
| Export reviewed Markdown + HTML | /spec-cover write report |
Audit before export. Check parsed requirements against the original spec; automated results are not guaranteed correct or complete.
Automatic scope routing
No workflow choice is required in chat. After local spec parsing and filtering,
verify defaults to an IDE-agent source assessment for 1–3 selected FRs;
check uses the same lightweight path. The runner saves a pending session without
calling pipeline models or requiring an index. Copilot then reads source, persists
reviewed findings and completes the assessment automatically through the skill.
4+ selected FRs use the existing batch pipeline followed by source audit. Related requirements can share source reads during the agent assessment. Both paths use the same session, structured-finalize and report contracts. The threshold is a count heuristic, not a claim about requirement complexity.
For unattended CLI use, select --mode batch; --mode agent explicitly prepares
a source-assessment handoff. A standalone CLI cannot run Copilot: pending output
is not a completed verification, and report export is blocked until finalize.
verify --all always uses batch; --all --mode agent is rejected to avoid
overwriting unfinished target sessions. Direct Python pipeline APIs are unchanged.
Recommended Copilot models
| Use | Model |
|---|---|
| Chat picker: setup / audit | Claude Sonnet 5.5 |
Pipeline verify |
Gemini 3.8 Flash |
Pipeline final_review |
Claude Sonnet 5.5 |
| Supporting jobs | GPT-6 Luna |
| Difficult findings only | GPT-6.1 Sol, optional second opinion |
Picker and pipeline models are separate. Fresh installs use these defaults;
existing settings are preserved. To adopt them, merge into ~/.config/spec-probe/config.json:
{
"llm": {
"jobs": {
"enrich": { "provider": "copilot", "model": "gpt-6-luna" },
"search": { "provider": "copilot", "model": "gpt-6-luna" },
"rescue": { "provider": "copilot", "model": "gpt-6-luna" },
"verify": { "provider": "copilot", "model": "gemini-3.8-flash" },
"final_review": { "provider": "copilot", "model": "claude-sonnet-5.5" },
"wiki": { "provider": "copilot", "model": "gpt-6-luna" },
"translate": { "provider": "copilot", "model": "gpt-6-luna" },
"report": { "provider": "copilot", "model": "gpt-6-luna" },
"parse": { "provider": "copilot", "model": "gpt-6-luna" }
}
}
}
Update
spec-probe update
Reinstall
To reinstall the package and refresh VS Code skills:
python3 -m pip uninstall spec-probe
python3 -m pip install -U spec-probe
spec-probe-skill --vscode
This does not remove ~/.config/spec-probe/ (config, credentials and data). To
start setup again, run /spec-setup; do not delete that directory unless you
intend to erase its contents.
1 maintainer
Metadata
1 maintainer
Release files for spec-probe 0.1.38
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| spec_probe-0.1.38.tar.gz | 448.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| spec_probe-0.1.38-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 873.3 kB
Release files / spec_probe-0.1.38.tar.gz
| Download URL | spec_probe-0.1.38.tar.gz |
|---|---|
| Size | 448.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
406c5827759a2c93f3527ed822be8dc21e69df215a9138a63bbe5d0f3fa647ad
|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
|
Release files / spec_probe-0.1.38-py3-none-any.whl
| Download URL | spec_probe-0.1.38-py3-none-any.whl |
|---|---|
| Size | 425.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3d8f81f90d2a5d955f885f3a7697011f9ed401d7c10ac059cf40aeb4e702e3dd
|
|
BLAKE2b-256 checksum How to use checksums |
5601281a8197616e0afa5d51fa0350a30b41304e7ec1cada2362a39f74485075
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
|
Security for spec-probe 0.1.38
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
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