SKILLEMALL.ai

BC infinity-context

Use when a long agent session is about to hit its context limit, when a detail from an earlier turn must be recalled exactly, or when past sessions should stay searchable offline. Compresses context, archives conversation chunks into a local SQLite/FTS5 store with owner-only permissions and a bounded 30-day retention window, and retrieves exact details on demand. Ships explicitly opt-in maintenance tools that change local files: a retention cleanup that permanently deletes expired archive files (verified archive marker + filename allowlist + --confirm-destructive), an ingest-time retention purge with --purge-only, an INFINITY_CONTEXT_NO_ARCHIVE=1 off switch, and an in-place redaction helper that rewrites a file only inside a declared --allow-dir. Works out of the box on DeepSeek Harness (dsh) and OpenClaw; also runs on Claude Code, Cursor, Dify, Ollama and any Agent Skills host.

ClawHub Agent Skills author: Pondsi v1.8.7 MIT-0 14 files body ≈ 5 871 tokens Open the sourceclawhub.ai analyzed 2 d ago

Use when a long agent session is about to hit its context limit, when a detail from an earlier turn must be recalled exactly, or when past sessions should…

As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

AnalyzerGitHubAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
95
Quality 40%
77
Run on models
none yet
Process rating
C
55/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Bash Read Write Env

Files scanned: 14. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5871 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 55/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 19 mutating operations with no state check
  • 40Consistency. Frontmatter name (infinity-context) differs from the folder (infinitycontext)
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 5871 tokens
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 30 steps
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 20 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (9 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 891: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -213 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 30 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 4 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This skill stores and searches agent conversation history locally, and its sensitive behavior is clearly disclosed and bounded.
LLM: benign (high) · VirusTotal: · 9 Sept 2026