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 mattmre/EVOKORE-MCP-PUBLIC --skill session-wrapgit clone --depth 1 https://github.com/mattmre/EVOKORE-MCP-PUBLICWrote 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/mattmre/evokore-mcp-public/session-wrap)<a href="https://agentmods.dev/skills/mattmre/evokore-mcp-public/session-wrap"><img src="https://agentmods.dev/badge/skills/mattmre/evokore-mcp-public/session-wrap/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/mattmre/evokore-mcp-public/session-wrap"><img src="https://agentmods.dev/badge/skills/mattmre/evokore-mcp-public/session-wrap.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 | $0.00035 | $0.00747 |
| Opus 5 | $0.00017 | $0.00374 |
| Sonnet 5 | $0.00007 | $0.00149 |
| Haiku 4.5 | $0.00003 | $0.00075 |
Grade A, and why
session-wrap 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 7d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Session Wrap
This skill wraps up the current coding session, ensuring no context is lost and the handoff to the next session is seamless.
Workflow
- Commit and PR: Create a PR for any work not already committed to a PR. If you need to use git, ensure you confirm the repo and completion.
- Log Session: Update the session log (
docs/session-logsor similar). Ensure you have per-session documentation for all previous sessions for this repo. Use agentic orchestration to explore and update as needed. - Prepare Next Session: Update
next-session.mdand prepare for the next session. Keep in mind there may have been another session running that just completed; incorporate its handoff points if applicable. - Update Claude Learnings: Use agentic orchestration to explore the session logs. Update
CLAUDE.mdwith any information from the agents that might be pertinent to future sessions, especially repetitive errors and noticed problems that affect progress. We want to make sure future sessions improve upon previous ones. UpdateCLAUDE.mdonce findings are prepared. - Finalize: Confirm completion once all the logs and PRs are updated.
Evidence-First Handoff Protocol
Adapted from Agent33's evidence capture framework. Every session wrap must include verifiable evidence so the next session can trust previous work without re-running it.
Minimum Evidence Requirements Per Session
Every session wrap must capture at minimum:
- Commands run: Exact CLI commands with their output summaries and exit codes
- Test results: Test suite name, pass/fail counts, and coverage (if available)
- Diff summary: Files changed with lines added/removed and rationale for each
- Review outcomes: Reviewer feedback, required issues, and approval status (if applicable)
Evidence Capture Format
Use this template in the session log to record evidence:
## Session Evidence
### Commands Run
| Command | Output Summary | Exit Code |
|---------|---------------|-----------|
| `npm test` | 24 passed, 0 failed | 0 |
| `npm run lint` | No errors | 0 |
### Full Output (if non-trivial)
<paste full output for audit trail>
### Diff Summary
| Files Changed | Lines Added | Lines Removed | Rationale |
|---------------|-------------|---------------|-----------|
| `src/parser.ts` | +15 | -3 | Added error handling for malformed input |
| `tests/parser.test.ts` | +20 | -0 | Added test for edge case |
### Test Results
- Test suite: unit tests
- Outcome: 24 passed, 0 failed
- Coverage: 87% lines
- Notes: All acceptance criteria covered
### Evidence Checklist
- [ ] Commands recorded with exact CLI
- [ ] Outputs captured (summary + full if non-trivial)
- [ ] Diff summary documented
- [ ] Tests recorded with pass/fail count
- [ ] Review outcomes captured (if applicable)
- [ ] Artifacts linked (logs, reports, screenshots)
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.
- 7d ago First seen · 74 lines · 35 tokens per session scan A c7c3b0287c5a
session-wrap is a skill published in the GitHub repository mattmre/EVOKORE-MCP-PUBLIC (3 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 747 once invoked, about $0.0002 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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checkpoint-management
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git-flow
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shared-tooling-git-hooks
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ship
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save
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wrap-session
Wrap up the current session by updating active.md, logging the session, committing, and providing the next session's starter prompt. Use at the end of every working session.