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.
git clone --depth 1 https://github.com/fatihkan/badiWrote 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/fatihkan/badi/content-close)<a href="https://agentmods.dev/commands/fatihkan/badi/content-close"><img src="https://agentmods.dev/badge/commands/fatihkan/badi/content-close/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/commands/fatihkan/badi/content-close"><img src="https://agentmods.dev/badge/commands/fatihkan/badi/content-close.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 | $0.00000 | $0.00813 |
| Opus 5.5 | $0.00000 | $0.00325 |
| Sonnet 5.5 | $0.00000 | $0.00163 |
| Haiku 4.5 | $0.00000 | $0.00081 |
Grade A, and why
content-close 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 1mo 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content session close command. Summarizes the day's output, prepares for tomorrow, and notes learnings.
Required Tools
- Read (today's content, notes)
- Glob (files created today)
- Grep (placeholder check)
- Write (daily note update)
- Bash (date and file listing)
Procedure (6 Steps)
Step 1: Collect Today's Output
Find today's files under .claude/workspace/:
icerikler/— Posts and carouselssenaryolar/— Videosgorseller/— Visual briefstakvim/— Calendar updates
For each file:
- File name
- Content type
- Complete? (any placeholders?)
- For which platform?
Step 2: Completion Check
Look for placeholder markers in every draft:
[...](bracketed placeholders)TODO,TBD,FIXME- Empty sections
Complete: No placeholders, publish-ready Partial: Some parts filled, some missing Draft: Mostly empty
Step 3: Publishing Plan
Suggest publish times for completed content:
- Platform-optimal hours
- Theme fit (day/time)
- Suggestion to add to the calendar
[Content] -> [Platform] -> [Day] [Time]
Step 4: Prepare for Tomorrow
Create a prep note for tomorrow:
- What's on tomorrow? Check the calendar
- Any unfinished drafts? Make them tomorrow's first job
- Any ongoing series? (carousel series, video series)
- Any trend opportunities? (current events, special days)
Step 5: Learnings and Notes
Note today's insights:
- What went well? (content that came easily)
- What was hard? (where you got stuck)
- Any new ideas born? (for future use)
- Does the brand voice need a correction?
Learnings can be nominated into knowledge-nominations.md.
Step 6: Close the Session Note
Update .claude/workspace/icerik-notlari/[date].md:
# Content Notes — [date]
## Today's Priority
[the priority set in the morning]
## Completed
- [x] [content 1] — [platform]
- [x] [content 2] — [platform]
## Partially Completed
- [ ] [content 3] — [what's missing]
## Ideas / Notes
- [new idea]
- [learning]
## For Tomorrow
- [ ] [priority 1]
- [ ] [priority 2]
## Performance Notes
[numbers if any]
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.
- 1mo ago First seen · 144 lines · 0 tokens per session scan A 19d3a1fd9453
content-close is a command published in the GitHub repository fatihkan/badi (7 stars, last pushed 14d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 813 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
catchup
Restore context after /clear by summarizing recent work and project state.
sessions
Browse Claude Code sessions history.
dashboard
Launch ccboard TUI dashboard.
ccboard-install
Install or update ccboard.
hatch3r-handoff
Prepare, resume, list, complete, and prune cross-session handoff documents.
check-cache-bugs
Audit Claude Code setup for cache bugs (CC#40524) — sentinel, --resume/--continue, attribution header + ArkNill B3/B4/B5.