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 skills/fjpulidop/specrails-core/whynpx skills add fjpulidop/specrails-core --skill whygit clone --depth 1 https://github.com/fjpulidop/specrails-coreWrote 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/fjpulidop/specrails-core/why)<a href="https://agentmods.dev/skills/fjpulidop/specrails-core/why"><img src="https://agentmods.dev/badge/skills/fjpulidop/specrails-core/why.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.00726 |
| Opus 5 | $0.00010 | $0.00363 |
| Sonnet 5 | $0.00004 | $0.00145 |
| Haiku 4.5 | $0.00002 | $0.00073 |
Grade A, and why
why 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 5d 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/specrails:why — In-Context Help
Searches explanation records written by sr-architect, sr-developer, and sr-reviewer agents during the OpenSpec implementation pipeline.
Records are stored in .claude/agent-memory/explanations/ as Markdown files with
YAML frontmatter (agent, feature, tags, date).
Usage:
/specrails:why— list the 20 most recent explanation records/specrails:why <query>— search records by keyword or tag
Step 1: Find explanation records
Glob all files matching .claude/agent-memory/explanations/*.md.
If the directory does not exist or contains no files: Print:
No explanation records found yet.
Explanation records are written by the sr-architect, sr-developer, and sr-reviewer agents
when they make significant decisions during feature implementation.
Run `/specrails:implement` on a feature to generate your first explanation records.
Then stop.
Step 2: Handle no-argument mode (listing)
If $ARGUMENTS is empty:
Read each explanation record file. Extract from frontmatter: date, agent, feature, tags.
Extract the first sentence of the ## Decision section as the decision summary.
Sort records by date descending. Print the 20 most recent as a Markdown table:
## Recent Explanation Records
| Date | Agent | Feature | Tags | Decision |
|------|-------|---------|------|----------|
| 2026-03-14 | sr-architect | in-context-help | [templates, commands] | Chose flat directory over per-agent subdirectories. |
| ... | ... | ... | ... | ... |
Then stop.
Step 3: Handle query mode (search)
If $ARGUMENTS is non-empty, treat the full string as the search query.
For each explanation record file:
- Read the full file content
- Score the record against the query:
- Filename contains a query word: +3 points per matching word
- Frontmatter
tagsarray contains an exact query word: +3 points per matching tag - Frontmatter
featurecontains a query word: +2 points - Body text contains a query word: +1 point per occurrence (case-insensitive)
- Sum the score
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.
- 5d ago First seen · 107 lines · 21 tokens per session scan A 28c9f581ce85
why is a skill published in the GitHub repository fjpulidop/specrails-core (9 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 726 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 2026-08-31.
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