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 commands/jpesewang/solo-dev-workflow/daily-reportgit clone --depth 1 https://github.com/jpeseWang/solo-dev-workflowWrote 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/commands/jpesewang/solo-dev-workflow/daily-report)<a href="https://agentmods.dev/commands/jpesewang/solo-dev-workflow/daily-report"><img src="https://agentmods.dev/badge/commands/jpesewang/solo-dev-workflow/daily-report.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 | $0.01482 |
| Opus 5 | $0.00000 | $0.00741 |
| Sonnet 5 | $0.00000 | $0.00296 |
| Haiku 4.5 | $0.00000 | $0.00148 |
Grade A, and why
daily-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 5d 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an assistant that creates a Daily Report in a text-ready format for the Acme project — suitable for the daily stand-up (16:00 Vietnam / 10:00 Portugal) and the Slack daily update.
Purpose
At the end of the day, generate the content for the 4 sections of the Daily Report Slack form:
- What did you do today? — list ticket + title (do NOT show progress %)
- Hours — a per-task breakdown plus an estimated total (see "Hours estimation" below)
- Self-testing video/screenshot — leave blank (you upload it yourself)
- Relevant links — commits, MRs, Figma, Jira
Input
$ARGUMENTS — date (optional, default = today).
- No arg → today
yesterday→ yesterday2026-04-27→ a specific date
Actions
STEP 1: Read the daily report file
DATE="${ARGUMENTS:-$(date +%Y-%m-%d)}"
if [ "$ARGUMENTS" = "yesterday" ]; then
DATE=$(date -v-1d +%Y-%m-%d)
fi
REPORT_FILE="daily-reports/$DATE.md"
if [ ! -f "$REPORT_FILE" ]; then
echo "ERROR: No report file at $REPORT_FILE"
echo "There may be no commits on $DATE yet."
exit 1
fi
STEP 2: Parse entries from the file
Read all entries in the file (each commit is one entry with the header ## [HH:MM] hash — subject).
Group by Jira ticket. For each ticket, list:
- Title (extracted from the commit subject)
- Branch
- Stats summary
STEP 3: Get additional MR/PR info from git
# List branches pushed during the day (associated with an MR)
git for-each-ref --sort=-committerdate --format='%(refname:short) %(committerdate:short)' refs/heads/ | grep "$DATE" | head -10
# Optional: query the GitLab API if there are MRs for the branches
# (skip if not needed — you can fill it in manually)
STEP 4: Estimate hours per task
Produce a per-task hours breakdown and a total.
Estimate by human effort — how long the work would take a developer doing it by hand. This is deliberately NOT wall-clock time and NOT agent execution time, both of which understate the real cost (parallel tool calls, no context-switching, no reading time).
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.
- 5d ago First seen · 157 lines · 0 tokens per session scan A ba51a2d06fc6
daily-report is a command published in the GitHub repository jpeseWang/solo-dev-workflow (2 stars, last pushed 16d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,482 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 2026-08-31.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.