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 Kastalien-Research/thoughtbox --skill thoughtbox-session-reviewgit clone --depth 1 https://github.com/Kastalien-Research/thoughtboxWrote 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/kastalien-research/thoughtbox/thoughtbox-session-review)<a href="https://agentmods.dev/skills/kastalien-research/thoughtbox/thoughtbox-session-review"><img src="https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/thoughtbox-session-review/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/kastalien-research/thoughtbox/thoughtbox-session-review"><img src="https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/thoughtbox-session-review.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 | $0.00097 | $0.01377 |
| Opus 5 | $0.00048 | $0.00688 |
| Sonnet 5 | $0.00019 | $0.00275 |
| Haiku 4.5 | $0.00010 | $0.00138 |
Grade A, and why
thoughtbox:session-review 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.
How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Thoughtbox Session Review
Sessions are write-once without review. This skill turns completed sessions into reusable knowledge by identifying what worked, what didn't, and what to carry forward.
Workflow
Phase 1: Retrieve and Measure
Find the session and get structural metrics:
// thoughtbox_execute — find the session
async () => {
// By ID:
const session = await tb.session.get("session-uuid");
// Or find latest:
const list = await tb.session.list({ limit: 1 });
return list;
}
// Get structural metrics
async () => {
const analysis = await tb.session.analyze("session-uuid");
return analysis;
// Returns: linearityScore, revisionRate, maxDepth, thoughtDensity,
// critiqueRequests, hasConvergence, isComplete
}
Interpret the metrics:
| Metric | High value means | Look for |
|---|---|---|
revisionRate > 0.15 |
Many course corrections | Anti-patterns — what kept going wrong? |
linearityScore < 0.7 |
Heavy branching | Exploration strategies — were branches productive? |
hasConvergence = true |
Branches resolved | Decision patterns — how was the choice made? |
isComplete = false |
Session abandoned | Why? Context loss? Stuck? Deprioritized? |
Phase 2: Identify Key Moments
Retrieve the full session and scan for signal thoughts:
async () => {
const session = await tb.session.get("session-uuid");
return session.thoughts;
}
Scan for these moment types:
- Pivots — reasoning direction changed. Look for: "actually", "wait", "on second thought", significant topic shift
- Decisions — uncertainty resolved. Look for: "choosing", "decided", "going with", comparison conclusions
- Insights — synthesis occurred. Look for: "this means", "the pattern is", "I see now", connections between ideas
- Revisions — corrections made. Check
isRevision: truefield - Branch points — exploration diverged. Check
branchFromThoughtfield
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 · 184 lines · 97 tokens per session scan A a7e485ce0a25
thoughtbox:session-review is a skill published in the GitHub repository Kastalien-Research/thoughtbox (64 stars, last pushed 1mo ago), licensed MIT. It adds 97 tokens to every session and 1,377 once invoked, about $0.0005 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.
Other skills, from other repositories
forget
Delete specific observations from agentmemory after showing them and getting explicit confirmation. Use when the user says "forget this", "delete memory", "remove that note", or wants to scrub specific data for privacy.
handoff
Resume the most recent agent session for the current working directory, leading with any unanswered question. Use when the user says "where were we", "resume", "handoff", "pick up where I left off", or starts a session with no fresh context.
agentmemory-agents
How agentmemory wires into host coding agents via the connect command. Use when installing agentmemory into a specific agent, when asked which agents are supported, or when a connect adapter writes the wrong config path.
agentmemory-config
Skill "agentmemory-config" from rohitg00/agentmemory, covering quick start, defaults worth knowing, ports, see also and reference.
agentmemory-hooks
The agentmemory plugin hooks that capture observations automatically across the agent session lifecycle. Use when explaining how memory gets captured without manual saves, when debugging missing observations, or when tuning what gets recorded.
session-history
Show what happened in recent past sessions on this project as a clean timeline. Use when the user asks "what did we do last time", "session history", "past sessions", or wants an overview of previous work.