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 msiShariful/claude-token-inspector --skill history-trimgit clone --depth 1 https://github.com/msiShariful/claude-token-inspectorWrote 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/msishariful/claude-token-inspector/history-trim)<a href="https://agentmods.dev/skills/msishariful/claude-token-inspector/history-trim"><img src="https://agentmods.dev/badge/skills/msishariful/claude-token-inspector/history-trim/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/msishariful/claude-token-inspector/history-trim"><img src="https://agentmods.dev/badge/skills/msishariful/claude-token-inspector/history-trim.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 | $0.00045 | $0.00764 |
| Opus 5 | $0.00023 | $0.00382 |
| Sonnet 5 | $0.00009 | $0.00153 |
| Haiku 4.5 | $0.00005 | $0.00076 |
Grade A, and why
history-trim 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 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.
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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
History Trim Advisor
Analyze the conversation history and find the safest /clear point — the turn where pruning everything before it costs nothing in terms of current task context.
Analysis process
-
Read the full conversation history — every turn, from first to last.
-
Identify the current task anchor — the turn where the work the user is currently doing began. This is turn T.
-
Classify every turn before T:
- Active dependency: a prior turn contains a decision, piece of code, constraint, or output that is still referenced or needed. Cannot be cleared without loss.
- Resolved context: a prior turn was relevant at the time but the work it relates to is complete and no longer needed. Safe to clear.
- Dead weight: unrelated to anything still in progress. Clear immediately.
-
Find the trim point — the latest turn where everything before it is either "resolved" or "dead weight" with no active dependencies. That's the recommended
/clearpoint. -
Estimate the savings — tokens recovered by clearing up to that point.
Output format
Open with a verdict line:
✂️ Safe to clear {N} turns — recover ~{tokens} tokens
Or if no trim is safe:
⚠️ No safe trim point found — all prior turns have active dependencies
Then a turn-by-turn summary table (keep it tight — one row per distinct topic block, not per individual turn):
| Turns | Summary | Status | Safe to Clear? |
|---|---|---|---|
| 1–5 | Initial project setup discussion | Resolved | ✅ Yes |
| 6–10 | Debugged login timeout — fixed in auth.ts | Resolved | ✅ Yes |
| 11–13 | Decided to use JWT over sessions | Active dependency | 🔴 No — still shapes current work |
| 14–now | Current task: refactor auth middleware | Current | — |
Then the recommended action:
💡 Recommended: /clear {N}
Where N is the turn number to clear up to (everything before turn N is pruned).
If there is an active dependency blocking a full clear, add:
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 · 91 lines · 45 tokens per session scan A 41be8346283a
history-trim is a skill published in the GitHub repository msiShariful/claude-token-inspector (4 stars, last pushed 4mo ago), licensed MIT. It adds 45 tokens to every session and 764 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
cco-patterns
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team-memory-protocol
A shared-memory process for teams of coding agents working on the same build. It stores project knowledge, shared context, and task progress in separate files or repositories.
knowledge-wiki
A tool that turns useful lessons from coding sessions into general articles for a team wiki. A wiki is a collection of linked reference pages, and this one can be kept locally or shared through a Git repository.
dream
Prunes and consolidates the project's auto-memory to keep it minimal — deletes stale, wrong, or redundant memories, merges overlapping ones into existing files, and trims the index. Strong bias against growth: never creates new memory files and never stores new facts. Verifies staleness against the current codebase…
magic-compact
Compact this Claude Code session.
boss-briefing
Vault health check — workflow pattern analysis, profile sync, session gap recovery, persona rule proposals.