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 commands/fcakyon/phd-skills/gapsgit clone --depth 1 https://github.com/fcakyon/phd-skillsWhat 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 | $0.00023 | $0.00432 |
| Opus 5 | $0.00012 | $0.00216 |
| Sonnet 5 | $0.00005 | $0.00086 |
| Haiku 4.5 | $0.00002 | $0.00043 |
Grade A, and why
gaps 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 3d 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
Literature Gap Analysis
You are performing a systematic gap analysis for the following research topic:
Topic: $ARGUMENTS
Step 1: Landscape Mapping
Search for existing work on this topic using multiple queries:
- Direct topic search via web search
- Search with alternative phrasings and synonyms
- Check Google Scholar, Semantic Scholar, and arXiv
- Look for survey papers that map the area
Step 2: Categorize Existing Work
Organize found papers into a coverage table:
| Approach Category | Papers | What They Cover | What's Missing |
|-------------------|--------|----------------|---------------|
Step 3: Identify Gaps
For each empty cell or "What's Missing" entry:
- Search specifically for work that might fill this gap
- Check very recent papers (last 6 months) on arXiv
- Look for workshop papers and preprints
- Assess whether the gap is meaningful
Step 4: Validate Gaps
For each candidate gap, rate confidence:
- HIGH: Searched with 3+ phrasings, checked top venues, clearly missing
- MEDIUM: Searched but might have missed niche venues
- LOW: Limited search, gap may exist under different terminology
Step 5: Output
## Gap Analysis: [Topic]
### Research Landscape
[2-3 sentence overview]
### Coverage Table
| Approach | Representative Papers | Coverage | Gap? |
|----------|----------------------|----------|------|
### Identified Gaps
| Gap | Confidence | Evidence of Absence | Why It Matters |
|-----|-----------|---------------------|---------------|
### Candidate Papers to Cite
[BibTeX entries for relevant papers — VERIFIED against DBLP]
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.
- 3d ago First seen · 67 lines · 23 tokens per session scan A e8c407b38f50
gaps is a command published in the GitHub repository fcakyon/phd-skills (382 stars, last pushed 2mo ago), licensed MIT. It adds 23 tokens to every session and 432 once invoked, about $0.0001 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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