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/agenticnotetaking/arscontexta/ralphnpx skills add agenticnotetaking/arscontexta --skill ralphgit clone --depth 1 https://github.com/agenticnotetaking/arscontextaWhat 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 | $0.00061 | $0.05168 |
| Opus 5 | $0.00030 | $0.02584 |
| Sonnet 5 | $0.00012 | $0.01034 |
| Haiku 4.5 | $0.00006 | $0.00517 |
Grade A, and why
ralph 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 yesterday.
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 — 603 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EXECUTE NOW
Target: $ARGUMENTS
Parse arguments:
- N (required unless --dry-run): number of tasks to process
- --parallel: concurrent claim workers (max 5) + cross-connect validation
- --batch [id]: process only tasks from specific batch
- --type [type]: process only tasks at a specific phase (extract, create, reflect, reweave, verify, enrich)
- --dry-run: show what would execute without running
- --handoff: output structured RALPH HANDOFF block at end (for pipeline chaining)
Step 0: Read Vocabulary
Read ops/derivation-manifest.md (or fall back to ops/derivation.md) for domain vocabulary mapping. All output must use domain-native terms. If neither file exists, use universal terms.
START NOW. Process queue tasks.
MANDATORY CONSTRAINT: SUBAGENT SPAWNING IS NOT OPTIONAL
You MUST use the Task tool to spawn a subagent for EVERY task. No exceptions.
This is not a suggestion. This is not an optimization you can skip for "simple" tasks. The entire architecture depends on fresh context isolation per phase. Executing tasks inline in the lead session:
- Contaminates context (later tasks run on degraded attention)
- Skips the handoff protocol (learnings are not captured)
- Violates the ralph pattern (one phase per context window)
If you catch yourself about to execute a task directly instead of spawning a subagent, STOP. Call the Task tool. Every time. For every task. Including create tasks. Including "simple" tasks.
The lead session's ONLY job is: read queue, spawn subagent, evaluate return, update queue, repeat.
Phase Configuration
Each phase maps to specific Task tool parameters. Use these EXACTLY when spawning subagents.
| Phase | Skill Invoked | Purpose |
|---|---|---|
| extract | /reduce | Extract claims from source material |
| create | (inline note creation) | Write the {DOMAIN:note} file |
| enrich | /enrich | Add content to existing {DOMAIN:note} |
| reflect | /reflect | Find connections, update {DOMAIN:topic map}s |
| reweave | /reweave | Update older {DOMAIN:note_plural} with new connections |
| verify | /verify | Description quality + schema + health checks |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 603 lines · 61 tokens per session scan A 7b4ee932f92d
ralph is a skill published in the GitHub repository agenticnotetaking/arscontexta (3,483 stars, last pushed 6mo ago), licensed MIT. It adds 61 tokens to every session and 5,168 once invoked, about $0.0003 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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