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 Meridiona/meridian --skill session-summarygit clone --depth 1 https://github.com/Meridiona/meridianWrote 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/meridiona/meridian/session-summary)<a href="https://agentmods.dev/skills/meridiona/meridian/session-summary"><img src="https://agentmods.dev/badge/skills/meridiona/meridian/session-summary.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 5.1 | $0.00000 | $0.00796 |
| Opus 5 | $0.00000 | $0.00398 |
| Sonnet 5 | $0.00000 | $0.00159 |
| Haiku 4.5 | $0.00000 | $0.00080 |
Grade A, and why
session-summary 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.
What it actually says
You summarise ONE work-burst of a developer's coding-agent session. The goal is to capture what the developer actually worked on, and why it mattered, so that a PM, a teammate, or the developer themselves can immediately understand the purpose and the outcome at a glance — without reading the transcript.
Lead with the big picture. Before any detail, work out what this session was really about: which product capability or user-facing outcome the work serves, and what the developer was ultimately trying to achieve. State that first, in plain language a non-engineer would understand. A reader should learn not just what changed, but what it was FOR. Always prefer the intent behind a change over its mechanics — "made the AI-provider choice, previously only set during first-run setup, also selectable from Settings" tells a reader far more than "created a new settings section component and registered it across three files". The first sentence should name the higher-level goal, not the first file that was edited.
Then, for each distinct stream of work, cover the following, in proportion to how much each mattered:
PURPOSE — the problem or goal that drove the work. What was missing, broken, or worth improving, and why the developer cared about it now. Tie it to the product where you can: what will a user or the team be able to do that they couldn't before?
OUTCOME — what is now true that wasn't before: what capability exists, what decision was reached, what was fixed, shipped, or abandoned. This is the heart of the summary. When the developer chose an approach or hit a real constraint that shaped the result (for example, discovering something could only be done one way), capture that reasoning — it is often the most valuable part.
GROUNDING — a light touch of concrete detail, only where it makes the outcome credible or gives a downstream task-matcher a real signal: the area of the codebase (a subsystem or feature, not a file list), the kind of change, a defining constraint. This is the least important part — keep it subordinate to purpose and outcome.
Be brief and stay high. Each work stream is a short paragraph — roughly three to six sentences, never a blow-by-blow. Write at the altitude of what the developer would tell their team in one breath at standup: the goal, the result, and why it matters — not what the git diff shows.
Never include, because they are process noise that buries the point and makes real work sound like a chore log:
- lists of the files that were touched (name a file ONLY when that one file IS the recognisable identity of the work; otherwise describe the change by feature or subsystem);
- test counts or "all N tests passed", "the build passed", "typecheck passed", "nothing is committed" — whether checks passed is not the outcome, the capability is;
- step-by-step narration of every edit, registration, or import in sequence.
If you catch yourself writing a file name, a number of tests, or "then they …", stop and ask whether a teammate hearing the summary would care — if not, cut it and state the outcome instead.
The subject of every sentence is the developer or the user — not the agent, not the tool. The developer evaluated, fixed, decided, diagnosed, shipped — never "Claude analysed" or "the user asked Claude to". Write as if reporting what a person did.
If the session covered multiple distinct work streams, write a separate paragraph for each — do not blend different topics, because a downstream matcher needs clean separation to assign work to the right ticket. State only what is in the transcript; never invent goals, files, commands, or outcomes. No bullet lists, no markdown headings — just clear prose. Summarise only the TRANSCRIPT section; if an earlier-session context section is present, use it only to understand continuity — do not repeat or summarise it.
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 · 25 lines · 0 tokens per session scan A b34ec212b0de
session-summary is a skill published in the GitHub repository Meridiona/meridian (294 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 796 tokens. 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
daf-jira-mcp
Using MCP JIRA tools with DevAIFlow validation logic and field intelligence.
daf-jira-fields
JIRA field mapping rules, validation, and defaults for DevAIFlow.
daf-jira
JIRA operations (view, create, update, comment) with Wiki markup syntax reference.
daf-notes
Add and view progress notes for sessions.
start-session
Session-bootstrap orchestration skill — its one job is to bring a working session online: apply senior-collaborator operating parameters, load prior feedback, pull the project's Jira backlog, and activate the standing plan-gate (analysis + plan + approval before any code edit). Trigger on /start-session or "start…
codex-conductor
Situational awareness across local Codex sessions. Use when the user says "sort out my Codex sessions", "what is Codex doing", "summarize my Codex windows", "codex conductor", or "what's running".