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 skills add SteveGJones/ai-first-sdlc-practices --skill module-bound-checkgit clone --depth 1 https://github.com/SteveGJones/ai-first-sdlc-practicesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/stevegjones/ai-first-sdlc-practices/module-bound-check)<a href="https://agentmods.dev/skills/stevegjones/ai-first-sdlc-practices/module-bound-check"><img src="https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/module-bound-check/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/stevegjones/ai-first-sdlc-practices/module-bound-check"><img src="https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/module-bound-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What 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 5.1 | $0.00046 | $0.00433 |
| Opus 5 | $0.00023 | $0.00217 |
| Sonnet 5 | $0.00009 | $0.00087 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade A, and why
module-bound-check 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 9d 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
Skill: module-bound-check
Use this skill to verify the project's decomposition is sound. Aggregates results from all 5 module-bound validators and reports a single pass/fail with per-validator detail. Run this before pushing a substantial change to a regulated-context project.
Steps
-
Load the decomposition. Read
programs.yaml(or usedefault_decompositionif absent). -
Build the spec_module_lookup. Walk all
docs/specs/**/*.mdartefacts; map each declared ID → module (from frontmatter or positional ID prefix). -
Build the import-edge graph. Walk source files; for each import, determine the from-module and to-module by mapping the file path to declared module paths.
-
Run each validator.
req_has_module_assignmentcode_annotation_maps_to_modulevisibility_rule_enforcement(mode from team-config: strict for regulated, advisory otherwise)anaemic_context_detectiongranularity_match
-
Aggregate results. Print a table:
Validator Status Errors Warnings req_has_module_assignment PASS 0 0 code_annotation_maps_to_module FAIL 2 0 visibility_rule_enforcement PASS 0 1 anaemic_context_detection PASS 0 0 granularity_match PASS 0 3 -
Report each error and warning with file path and line number.
Done criteria
- All 5 validators ran.
- Result table printed.
- Exit code: 0 if all pass; 1 if any error; 0 if only warnings (warnings don't block).
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.
- 9d ago First seen · 44 lines · 46 tokens per session scan A 17f2cab28e0c
module-bound-check is a skill published in the GitHub repository SteveGJones/ai-first-sdlc-practices (41 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 433 once invoked, about $0.0002 per session on Opus 5. 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 2026-08-30.
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