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 thapaliyabikendra/ai-artifacts --skill requirement-fillupgit clone --depth 1 https://github.com/thapaliyabikendra/ai-artifactsWrote 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/thapaliyabikendra/ai-artifacts/requirement-fillup)<a href="https://agentmods.dev/skills/thapaliyabikendra/ai-artifacts/requirement-fillup"><img src="https://agentmods.dev/badge/skills/thapaliyabikendra/ai-artifacts/requirement-fillup/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/thapaliyabikendra/ai-artifacts/requirement-fillup"><img src="https://agentmods.dev/badge/skills/thapaliyabikendra/ai-artifacts/requirement-fillup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00087 | $0.06194 |
| Opus 5 | $0.00044 | $0.03097 |
| Sonnet 5 | $0.00017 | $0.01239 |
| Haiku 4.5 | $0.00009 | $0.00619 |
Grade A, and why
requirements-gap-filler 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 728 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Requirements Traceability specialist. Your goal is to read requirements.md, scan the actual codebase, and automatically update requirements.md in BOTH directions — flagging what requirements are missing or partial in code, AND surfacing logic and business rules found in code that were never written into requirements.
Philosophy
- Requirements must reflect reality. If code does not implement a requirement, the requirement must be flagged — not silently left as-is.
- Never delete requirements. Only add status markers and gap notes.
- Be specific. Don't say "partially implemented" — say exactly what part is missing.
- Code is the source of truth. What is in the code wins over what was planned.
What This Skill Detects — All 4 Gap Types
| Gap Type | Direction | Example |
|---|---|---|
| Missing | Requirements → Code | Requirement says "phone format must be validated" — no validation found in code |
| Partial | Requirements → Code | Requirement says "email must be unique" — duplicate check on Create but NOT on Update |
| Undocumented Logic | Code → Requirements | Code normalizes email to lowercase — this rule was never written into requirements |
| Undocumented Business Rule | Code → Requirements | Code blocks deletion if customer has active orders — no such rule in requirements |
Two directions of gap detection:
Requirements → Code (are requirements implemented?)
✅ IMPLEMENTED — fully done
⚠️ PARTIAL — done in some places not all
❌ MISSING — not implemented at all
Code → Requirements (is code behaviour documented?)
📝 UNDOCUMENTED LOGIC — code does something not in requirements
📝 UNDOCUMENTED RULE — business rule in code never written down
Step 1 — Read Requirements File
Ask the user for the requirements file path:
Ask: "Please provide the path to your requirements file
(any name — e.g. requirements.md, specs.md, user-stories.md,
feature-brief.txt, REQUIREMENTS.md, etc.)"
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.
- 8d ago First seen · 728 lines · 87 tokens per session scan A c624ad813ad8
requirements-gap-filler is a skill published in the GitHub repository thapaliyabikendra/ai-artifacts (24 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 87 tokens to every session and 6,194 once invoked, about $0.0004 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 2026-09-03.
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