agentmods.dev

session-report

session-report is a command for GitHub Copilot from HoangNguyen0403/agent-skills-standard. It costs 19 tokens per session (550 once invoked), scanned A, original, MIT.

A work-session record that captures what changed, how it was checked, evidence, blockers, and follow-up work. It can also record gaps between requirements and the delivered work.

In plain words
What is it for?
Use it at the end of a coding session to record changed files, commands, test results, risks, requirements drift, and the right follow-up route.
Why use it?
It preserves delivery evidence before the session context is lost and makes unfinished work or missing verification visible to the next person.

Command for GitHub Copilot

Written for GitHub Copilot: a Copilot chat mode or prompt.

not rated 565repo +4 3d ago A scan 19 tokens original MIT

Good fit Use it at the end of a coding session to record changed files, commands, test results, risks, requirements drift, and the right follow-up route.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/hoangnguyen0403/agent-skills-standard/session-report
View source ↗ HoangNguyen0403/agent-skills-standard npmjs.com
Install

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.

Clone the repo
git clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standard

Made for: GitHub Copilot.

Wrote 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.

agentmods badge for session-report

README.md
[![agentmods](https://agentmods.dev/badge/commands/hoangnguyen0403/agent-skills-standard/session-report/github.svg)](https://agentmods.dev/commands/hoangnguyen0403/agent-skills-standard/session-report)
Your own site
<a href="https://agentmods.dev/commands/hoangnguyen0403/agent-skills-standard/session-report"><img src="https://agentmods.dev/badge/commands/hoangnguyen0403/agent-skills-standard/session-report/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.

agentmods 80×15 button for session-report

Your own site · 80×15
<a href="https://agentmods.dev/commands/hoangnguyen0403/agent-skills-standard/session-report"><img src="https://agentmods.dev/badge/commands/hoangnguyen0403/agent-skills-standard/session-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 550 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00019 $0.00550
Opus 5 $0.00010 $0.00275
Sonnet 5 $0.00004 $0.00110
Haiku 4.5 $0.00002 $0.00055

Measured 6d ago against content hash 327562f4fe87, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

session-report 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 6d 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.

.github/prompts/session-report.prompt.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Session Report Workflow

Goal: Preserve a concise artifact of what changed, how it was verified, and what should improve.

Steps

  1. Collect session facts:
    • User goal, ticket/PR/spec links, changed files, commands run, test results, screenshots/logs, environments.
    • MCP/tool calls used when available; otherwise local command summaries and artifact paths.
    • Load common-operator-profile; carry the inherited operator_profile from the Handoff Payload without re-inferring it.
  2. Capture evidence:
    • Implementation summary tied to ACs or tasks.
    • Verification commands and PASS/FAIL/BLOCKED status.
    • Remaining risks, assumptions, and follow-up owners.
  3. Record requirements drift:
    • BRD-lite, PRD, and SRS/FRS updates completed or missing.
    • Traceability gaps found during implementation or verification.
  4. Route:
    • Remaining code work -> implement-feature or dev-fix.
    • Missing evidence -> verify-work or traceability-audit.
    • Standards update -> retro-learn.
    • Release communication -> publish-notes.

Runtime Contract

  • Use at the end of a work session to preserve evidence and follow-ups before context is lost.
  • Required inputs: session goal plus changed files or commands run during the session.
  • Return BLOCKED only when no session evidence (changes, commands, or verification) exists to report.

Handoff Payload

  • slug, operator_profile, goal, changes, verification results, requirement-drift status, risks, follow-ups, next workflow.

Blocking Questions

  • Ask max 3 at a time with a recommended default and 2-3 options.

Output Template

# Session Report

## Goal

## Changes

## Verification

| Command/Check | Result | Evidence |
| --- | --- | --- |
| [check] | [result] | [evidence] |

## BRD/PRD/SRS Update Status

## Risks And Follow-Ups

## Skill Feedback Candidates

## Outcome Report
feature_status: partially_implemented | implemented | blocked
requirement_trace: BRD-OBJ-* -> REQ-* -> AC-* -> SRS-* -> evidence
completed_evidence: []; missing_evidence: []; decision_needed: []; recommended_next_workflow: implement-feature | verify-work | publish-notes | retro-learn

## Next Workflow

## Cost Report
Call `get_session_cost(workflow="session-report")` before final handoff.

Read the full file on GitHub · 68 lines

Changes

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.

  1. 6d ago First seen · 68 lines · 19 tokens per session scan A 327562f4fe87

Subscribe to this mod's changes

session-report is a command published in the GitHub repository HoangNguyen0403/agent-skills-standard (565 stars, last pushed 3d ago), licensed MIT. It adds 19 tokens to every session and 550 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 2026-09-06.

Project managementReactbest-practicescoding-standardsflutternestjsnextjs
Related

Other commands, from other repositories

plan

PM planning workflow that gathers requirements, decomposes them into prioritized tasks, defines API contracts, and produces both a machine-readable plan and a human-readable tracker in docs/plans/.

first-fluke/fullstack-starter · 35 tokens

schedule

Register a scheduled agent job from a natural-language schedule request — parse the interval, resolve agent-id + prompt + workspace, call oma schedule:add, then confirm with oma schedule:list.

first-fluke/fullstack-starter · 35 tokens

coordinate-pro

Thorough version of coordinate - high-quality development workflow with 11 review steps out of 17.

first-fluke/fullstack-starter · 19 tokens

coordinate

Coordinate multiple agents for a complex multi-domain project using PM planning, parallel agent spawning, and QA review.

first-fluke/fullstack-starter · 20 tokens

exec-plan

Create, manage, and track execution plans as first-class repository artifacts in docs/exec-plans/.

first-fluke/fullstack-starter · 20 tokens

work

Coordinate multiple agents for a complex multi-domain project using PM planning, parallel agent spawning, and QA review.

first-fluke/fullstack-starter · 20 tokens