Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/otterlyspacelabs/speekify/codebase-conventionsgit clone --depth 1 https://github.com/OtterlySpaceLabs/speekifyWhat 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 | $0.00000 | $0.00288 |
| Opus 5 | $0.00000 | $0.00144 |
| Sonnet 5 | $0.00000 | $0.00058 |
| Haiku 4.5 | $0.00000 | $0.00029 |
Grade A, and why
codebase-conventions scanned grade A with 0 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 2d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Codebase Conventions
- Use
GenerationRequest/GenerationResultdataclasses when changing generation flow rather than passing loose dictionaries through the workflow. - Validate user-facing CLI values in
__main__.pywith Typer callbacks or option bounds, then keep duplicated runtime guards inworkflow.py/tts.pywhere direct calls need protection. - When adding a generation status, update both the status callbacks in
workflow.pyand the display label map incli_rendering.format_status(). - French synthesis has a special behavior: when
target_language == "fr",workflow.translate_content_if_needed()callsHuggingFaceTranslator.maybe_translate_to_french()and only English input is translated. SupertonicSynthesizer.prepare_text()is intentionally permissive: it preprocesses via Supertonic, removes unsupported characters when possible, and reports cleanup throughPreparedText.summary_notes().- Output files should continue to be
.wavfiles named bybuild_output_path(), using a slug plus timestamp and collision suffixes. - User-facing terminal output should stay concise Rich panels/tables; technical diagnostics belong in
logs/speekify.logand are shown to users only with--verbose. - URL extraction should return readable body text, not raw HTML; provider-specific extraction belongs under
extractors/, whileextract.pystays a small facade.
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.
- 2d ago First seen · 11 lines · 0 tokens per session scan A 998753203209
codebase-conventions is an agent published in the GitHub repository OtterlySpaceLabs/speekify (10 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 288 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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