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 balabalabalading/huuuuuuho-skills --skill logging-sessiongit clone --depth 1 https://github.com/balabalabalading/huuuuuuho-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/balabalabalading/huuuuuuho-skills/logging-session)<a href="https://agentmods.dev/skills/balabalabalading/huuuuuuho-skills/logging-session"><img src="https://agentmods.dev/badge/skills/balabalabalading/huuuuuuho-skills/logging-session/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/balabalabalading/huuuuuuho-skills/logging-session"><img src="https://agentmods.dev/badge/skills/balabalabalading/huuuuuuho-skills/logging-session.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 | $0.00049 | $0.02130 |
| Opus 5 | $0.00024 | $0.01065 |
| Sonnet 5 | $0.00010 | $0.00426 |
| Haiku 4.5 | $0.00005 | $0.00213 |
Grade B, and why
logging-session scanned grade B with 1 finding 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 12d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
The Stop hook is configured in `~/.claude/settings.json`. See `references/hooks-guide.md` for full setup details. How it starts
The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Logging Session
This skill records coding session summaries to a local SQLite database stored in your local path, so you can later query and summarize your work across projects and time periods.
Why this matters
Coding sessions produce valuable knowledge — decisions made, problems solved, approaches tried and abandoned. Without capturing these, each session starts from scratch. This skill turns conversations into searchable, summarizable records that feed into daily standups, weekly reviews, and long-term project memory.
Database location
The database path is defined by db_path in config.json, defaulting to:
~/Library/Mobile Documents/iCloud~md~obsidian/Documents/vault4life/dev_knowledge.db
To customize, edit <skill-path>/config.json.
If the database doesn't exist yet, initialize it:
python3 <skill-path>/scripts/init_db.py
The script reads the path from config.json automatically. You can also specify a path manually:
python3 <skill-path>/scripts/init_db.py /path/to/your/dev_knowledge.db
Schema
CREATE TABLE dev_logs (
id INTEGER PRIMARY KEY AUTOINCREMENT,
created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
project_name TEXT NOT NULL,
session_id TEXT NOT NULL,
parent_id INTEGER DEFAULT NULL,
task_category TEXT,
user_query TEXT NOT NULL,
thought_process TEXT,
final_result TEXT,
file_paths TEXT,
git_hash TEXT,
extra_metadata TEXT,
FOREIGN KEY (parent_id) REFERENCES dev_logs (id)
);
When to record
Record a session log entry when:
- User explicitly asks — they say "record this session", "log this conversation", "logging-session", etc.
- A meaningful task completes — when a significant coding task is done (bug fixed, feature added, refactoring completed), and the user wants it captured.
- Via Stop hook — when the hook fires automatically at session end, synthesize the entire conversation into a log entry.
Do NOT record trivial interactions (quick questions, simple lookups, clarifications) unless the user asks.
What ships with it
10 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.
- config.json 198 B
- evals/evals.json 4.7 KB
- README.md 8.9 KB
- references/hooks-guide.md 1.9 KB
- scripts/config_loader.py 1.0 KB runs code
- scripts/init_db.py 1.4 KB runs code
- scripts/query_logs.py 5.1 KB runs code
- scripts/save_log.py 2.8 KB runs code
- scripts/time_utils.py 1.2 KB runs code
- scripts/weekly_summary.py 8.2 KB runs code
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.
- 12d ago First seen · 226 lines · 49 tokens per session scan B de8404002f82
logging-session is a skill published in the GitHub repository balabalabalading/huuuuuuho-skills (117 stars, last pushed 4d ago), licensed MIT. It adds 49 tokens to every session and 2,130 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
persist-memory
Persist information to long-term memory at /.clacky/memories/. Use when the user asks you to remember/note something, or when reviewing a finished conversation for facts worth keeping. Handles file naming, topic merging, frontmatter, and size limits.
recall-memory
Recall relevant long-term memories on demand. Given a topic or question, judges relevance from pre-loaded metadata, loads only relevant files, and returns a concise summary to the main agent.
doris-debug-resource-isolation
Use for Doris Workload Group / resource tag queue starvation, CPU/memory isolation leaks, and workload policy debugging. Commands: SHOW WORKLOAD GROUPS, EXPLAIN resource.
remember
Consolidate stashes + friction into project memory.
find-skills
Use when automatically discover, evaluate, and activate community skills when local skills don't cover user needs. Includes credibility scoring and safety checks for complete OpenClaw self-sufficiency.
personal-ip-knowledge-builder
A tool for turning interviews, chats, résumés, public content, business materials, case studies, and existing documents into a long-term personal knowledge base for an AI-assisted public profile.