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 nataliacorrea03/claude-code-skills --skill problem-loggit clone --depth 1 https://github.com/nataliacorrea03/claude-code-skillsWrote 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/nataliacorrea03/claude-code-skills/problem-log)<a href="https://agentmods.dev/skills/nataliacorrea03/claude-code-skills/problem-log"><img src="https://agentmods.dev/badge/skills/nataliacorrea03/claude-code-skills/problem-log/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/nataliacorrea03/claude-code-skills/problem-log"><img src="https://agentmods.dev/badge/skills/nataliacorrea03/claude-code-skills/problem-log.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 | $0.00069 | $0.00479 |
| Opus 5.5 | $0.00028 | $0.00192 |
| Sonnet 5.5 | $0.00014 | $0.00096 |
| Haiku 4.5 | $0.00007 | $0.00048 |
Grade A, and why
problem-log 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 2mo 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
problem-log
You solve real problems in Claude Code every day and forget them by next week. This logs them automatically.
Once a day a cron reads that day's Claude Code sessions, finds the genuine problem-solving arcs (a bug you chased down, a design decision with tradeoffs, a diagnosis that overturned your first guess), and appends a short entry for each to a markdown file. No manual step. Routine chatter and simple lookups are skipped.
What you get, per arc
- Problem — the friction in one line
- Approach & iteration — how you worked it, including dead ends and pivots
- Outcome — what actually resolved it
- Tools — what you used
- Date + source session id
Setup (2 minutes)
- Requires the
claudeCLI on your PATH and Python 3. - Pick where the log lives (default
~/problem-log.md). - Install the daily cron:
(On Linux, use thecp com.example.problem-log-daily.plist ~/Library/LaunchAgents/ # edit the path inside to point at this folder, then: launchctl load ~/Library/LaunchAgents/com.example.problem-log-daily.plistcrontabline indaily-sweep.sh's header instead.)
Run it by hand
./daily-sweep.sh # log yesterday's arcs now
./daily-sweep.sh dry # print what it would log, write nothing
How it works
build_digest.py (pure local, no LLM) reads your session transcripts from ~/.claude/projects, keeps only the human/assistant text, and drops trivial sessions. Then a headless claude pass reads that digest per SWEEP_PROMPT.md and appends the arcs to your log file. Nothing leaves your machine except the model call you already use.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 38 lines · 69 tokens per session scan A 1e6d72fcd05b
problem-log is a skill published in the GitHub repository nataliacorrea03/claude-code-skills (4 stars, last pushed 3mo ago), licensed MIT. It adds 69 tokens to every session and 479 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.
problem-log compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| problem-lognataliacorrea03/claude-code-skills | Skill | 4 | 3mo ago | MIT | A | 69 | Claude Code, Codex |
| apple-remindersNousResearch/hermes-agent | Skill | 262k | today | MIT | A | 17 | Claude Code, Codex |
| apple-notesNousResearch/hermes-agent | Skill | 262k | today | MIT | A | 17 | Claude Code, Codex |
| boxNousResearch/hermes-agent | Skill | 262k | today | MIT | A | 14 | Claude Code, Codex |
| obsidianNousResearch/hermes-agent | Skill | 262k | today | MIT | A | 19 | Claude Code, Codex |
| channels-setupCopilotKit/CopilotKit | Skill | 39k | today | MIT | A | 141 | Claude Code |
| mantis-configuregoogle/mantis | Skill | 2.7k | 3d ago | Apache-2.0 | A | 77 | Claude Code, Codex |